FEATURE NMH-175: Hide download button from licensed model page

docs/_posts/aymanechilah/2023-01-03-ner_deid_large_en_3_2.md

@@ -28,7 +28,8 @@ It protects specific health information that could identify living or deceased i
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/DEID_IMAGE/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/tutorials/Certification_Trainings/3.1.SparkOcrImageDeIdentification.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/models/ner_deid_large_en_3.0.0_3.0_1617209688468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/models/ner_deid_large_en_3.0.0_3.0_1617209688468.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/models/ner_deid_large_en_3.0.0_3.0_1617209688468.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/aymanechilah/2023-01-10-general_model_table_detection_v2_en_3_2.md

@@ -27,7 +27,8 @@ Here it is used the CascadeTabNet general model for table detection inspired by
 {:.btn-box}
 <button class="button button-orange" disabled>Live Demo</button>
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageTableDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/general_model_table_detection_v2_en_3.3.0_3.0_1623301511401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/general_model_table_detection_v2_en_3.3.0_3.0_1623301511401.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/general_model_table_detection_v2_en_3.3.0_3.0_1623301511401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/aymanechilah/2023-01-10-image_text_detector_v2_en_3_2.md

@@ -25,7 +25,8 @@ CRAFT: Character-Region Awareness For Text detection, is designed with a convolu
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/TEXT_DETECTION/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageTextDetection.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/image_text_detector_v2_en_3.3.0_2.4_1643618928538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/image_text_detector_v2_en_3.3.0_2.4_1643618928538.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/image_text_detector_v2_en_3.3.0_2.4_1643618928538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/aymanechilah/2023-01-10-ocr_small_handwritten_en_2_4.md

@@ -27,7 +27,8 @@ The abstract from the paper is the following:  Text recognition is a long-standi
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RECOGNIZE_HANDWRITTEN/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageToTextHandwritten.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_small_handwritten_en_3.3.3_2.4_1645080334390.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_small_handwritten_en_3.3.3_2.4_1645080334390.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/ocr_small_handwritten_en_3.3.3_2.4_1645080334390.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/aymanechilah/2023-01-10-ocr_small_printed_en_2_4.md

@@ -25,7 +25,8 @@ Ocr small model for recognise printed text based on TrOcr architecture. The TrOC
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RECOGNIZE_PRINTED/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/tutorials/Certification_Trainings/1.3.Trasformer_based_Text_Recognition.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_small_printed_en_3.3.3_2.4_1645007455031.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_small_printed_en_3.3.3_2.4_1645007455031.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/ocr_small_printed_en_3.3.3_2.4_1645007455031.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-10-text_cleaner_v1_en_3_2.md

@@ -25,7 +25,8 @@ Model for cleaning image with text. It is based on text detection model with ext
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/IMAGE_CLEANER/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageCleaner.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/text_cleaner_v1_en_3.0.0_2.4_1640088709401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/text_cleaner_v1_en_3.0.0_2.4_1640088709401.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/text_cleaner_v1_en_3.0.0_2.4_1640088709401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-10-visualner_10kfilings_en_3_2.md

@@ -28,7 +28,8 @@ This model is a Visual NER team aimed to extract the main key points in the summ
 {:.btn-box}
 [Live Demo](https://nlp.johnsnowlabs.com/demos){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/finance-nlp/90.2.Financial_Visual_NER.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/visualner_10kfilings_en_4.0.0_3.2_1663769328577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/visualner_10kfilings_en_4.0.0_3.2_1663769328577.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/visualner_10kfilings_en_4.0.0_3.2_1663769328577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/aymanechilah/2023-01-10-visualner_keyvalue_10kfilings_en_3_2.md

@@ -28,7 +28,8 @@ This is a Form Recognition / Key Value extraction model, trained on the summary
 {:.btn-box}
 [Live Demo](https://nlp.johnsnowlabs.com/demos){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://github.com/JohnSnowLabs/spark-nlp-workshop/blob/master/finance-nlp/90.2.Financial_Visual_NER.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/visualner_keyvalue_10kfilings_en_4.0.0_3.2_1663781115795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/visualner_keyvalue_10kfilings_en_4.0.0_3.2_1663781115795.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/visualner_keyvalue_10kfilings_en_4.0.0_3.2_1663781115795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/aymanechilah/2023-01-17-docvqa_donut_base_en_3_2.md

@@ -28,7 +28,8 @@ DocVQA seeks to inspire a “purpose-driven” point of view in Document Analysi
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrVisualQuestionAnswering.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/docvqa_donut_base_en_4.3.0_3.0_1673269990044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/docvqa_donut_base_en_4.3.0_3.0_1673269990044.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/docvqa_donut_base_en_4.3.0_3.0_1673269990044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-17-docvqa_donut_base_opt_en_3_2.md

@@ -27,7 +27,8 @@ DocVQA seeks to inspire a “purpose-driven” point of view in Document Analysi
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/VISUAL_QUESTION_ANSWERING/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrVisualQuestionAnswering_opt.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/docvqa_donut_base_opt_en_4.3.0_3.0_1673269990047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/docvqa_donut_base_opt_en_4.3.0_3.0_1673269990047.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/docvqa_donut_base_opt_en_4.3.0_3.0_1673269990047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-17-ocr_base_handwritten_v2_en_3_2.md

@@ -25,7 +25,8 @@ Ocr base handwritten model v2 for recognise handwritten text based on TrOCR mode
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RECOGNIZE_HANDWRITTEN/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageToTextHandwritten_V2.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_handwritten_v2_en_4.2.2_3.0_1670602309000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_handwritten_v2_en_4.2.2_3.0_1670602309000.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_handwritten_v2_en_4.2.2_3.0_1670602309000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-17-ocr_base_handwritten_v2_opt_en_3_2.md

@@ -26,7 +26,8 @@ Ocr base handwritten model v2 optimized with ONNX for recognise handwritten text
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RECOGNIZE_HANDWRITTEN/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageToTextHandwritten_V2_opt.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_handwritten_v2_opt_en_4.2.2_3.0_1670608549000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_handwritten_v2_opt_en_4.2.2_3.0_1670608549000.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_handwritten_v2_opt_en_4.2.2_3.0_1670608549000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-17-ocr_base_printed_v2_en_3_2.md

@@ -26,7 +26,8 @@ Ocr base printed model v2 for recognise printed text based on a TrOCR model pret
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RECOGNIZE_PRINTED/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageToTextPrinted_V2.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_printed_v2_en_4.2.2_3.0_1670623909000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_printed_v2_en_4.2.2_3.0_1670623909000.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_printed_v2_en_4.2.2_3.0_1670623909000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/aymanechilah/2023-01-17-ocr_base_printed_v2_opt_en_3_2.md

@@ -26,7 +26,8 @@ Ocr base printed model v2 optimized with ONNX for recognise handwritten text bas
 {:.btn-box}
 [Live Demo](https://demo.johnsnowlabs.com/ocr/RECOGNIZE_PRINTED/){:.button.button-orange.button-orange-trans.co.button-icon}
 [Open in Colab](https://colab.research.google.com/github/JohnSnowLabs/spark-ocr-workshop/blob/master/jupyter/Cards/SparkOcrImageToTextPrinted_V2_opt.ipynb){:.button.button-orange.button-orange-trans.co.button-icon}
-[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_printed_v2_opt_en_4.2.2_3.0_1670605909000.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_printed_v2_opt_en_4.2.2_3.0_1670605909000.zip){:.button.button-orange.button-orange-trans.arr.button-icon.hidden}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/clinical/ocr/ocr_base_printed_v2_opt_en_4.2.2_3.0_1670605909000.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 
 ## How to use

docs/_posts/gadde5300/2023-01-13-bert_embeddings_Italian_Legal_BERT_it.md

@@ -23,6 +23,7 @@ Pretrained BERT Embedding model, adapted from Hugging Face and curated to provid
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embeddings_Italian_Legal_BERT_it_4.2.7_3.0_1673598434160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embeddings_Italian_Legal_BERT_it_4.2.7_3.0_1673598434160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-bert_embeddings_Legal_BERTimbau_base_pt.md

@@ -23,6 +23,7 @@ Pretrained BERT Embedding model, adapted from Hugging Face and curated to provid
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embeddings_Legal_BERTimbau_base_pt_4.2.7_3.0_1673598469886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embeddings_Legal_BERTimbau_base_pt_4.2.7_3.0_1673598469886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-bert_embeddings_Legal_BERTimbau_large_pt.md

@@ -23,6 +23,7 @@ Pretrained BERT Embedding model, adapted from Hugging Face and curated to provid
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embeddings_Legal_BERTimbau_large_pt_4.2.7_3.0_1673598547818.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embeddings_Legal_BERTimbau_large_pt_4.2.7_3.0_1673598547818.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-bert_embeddings_bert_large_portuguese_cased_legal_mlm_pt.md

@@ -23,6 +23,7 @@ Pretrained BERT Embedding model, adapted from Hugging Face and curated to provid
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embeddings_bert_large_portuguese_cased_legal_mlm_pt_4.2.7_3.0_1673598653906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embeddings_bert_large_portuguese_cased_legal_mlm_pt_4.2.7_3.0_1673598653906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-bert_embeddings_legal_bert_base_cased_ptbr_pt.md

@@ -23,6 +23,7 @@ Pretrained BERT Embedding model, adapted from Hugging Face and curated to provid
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_embeddings_legal_bert_base_cased_ptbr_pt_4.2.7_3.0_1673598724252.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_embeddings_legal_bert_base_cased_ptbr_pt_4.2.7_3.0_1673598724252.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-camembert_embeddings_Italian_Legal_BERT_SC_it.md

@@ -23,6 +23,7 @@ Pretrained Camembert Embedding model, adapted from Hugging Face and curated to p
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_embeddings_Italian_Legal_BERT_SC_it_4.2.7_3.0_1673591049304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_embeddings_Italian_Legal_BERT_SC_it_4.2.7_3.0_1673591049304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-camembert_embeddings_legal_camembert_fr.md

@@ -23,6 +23,7 @@ Pretrained CamemBERT Embedding model, adapted from Hugging Face and curated to p
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_embeddings_legal_camembert_fr_4.2.7_3.0_1673596318105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_embeddings_legal_camembert_fr_4.2.7_3.0_1673596318105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-camembert_embeddings_legal_distilcamembert_fr.md

@@ -23,6 +23,7 @@ Pretrained CamemBERT Embedding model, adapted from Hugging Face and curated to p
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_embeddings_legal_distilcamembert_fr_4.2.7_3.0_1673596347783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_embeddings_legal_distilcamembert_fr_4.2.7_3.0_1673596347783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use
 

docs/_posts/gadde5300/2023-01-13-camembert_embeddings_lsg16k_Italian_Legal_BERT_SC_it.md

@@ -23,6 +23,7 @@ Pretrained CamemBERT Embedding model, adapted from Hugging Face and curated to p
 <button class="button button-orange" disabled>Live Demo</button>
 <button class="button button-orange" disabled>Open in Colab</button>
 [Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_embeddings_lsg16k_Italian_Legal_BERT_SC_it_4.2.7_3.0_1673597331922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_embeddings_lsg16k_Italian_Legal_BERT_SC_it_4.2.7_3.0_1673597331922.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
 
 ## How to use