fixing modelhub cards (#13952)

* fixing modelhub cards * removing extra folder * Update 2023-08-02-albert_base_uncased_quantized_en.md
JohnSnowLabs · Sep 2, 2023 · 770d5c0 · 770d5c0
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diff --git a/...lone127/2023-06-28-distilbert_embeddings_distilbert_base_german_cased_opt_de.md b/...lone127/2023-06-28-distilbert_embeddings_distilbert_base_german_cased_opt_de.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: German DistilBERT Embeddings
+title: German DistilBERT Embeddings Optimized
 author: John Snow Labs
 name: distilbert_embeddings_distilbert_base_german_cased_opt
 date: 2023-06-28
@@ -48,7 +48,7 @@ tokenizer = Tokenizer() \
 .setInputCols("document") \
 .setOutputCol("token")
 
-embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased","de") \
+embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased_opt","de") \
 .setInputCols(["document", "token"]) \
 .setOutputCol("embeddings")
 
@@ -67,7 +67,7 @@ val tokenizer = new Tokenizer()
 .setInputCols(Array("document"))
 .setOutputCol("token")
 
-val embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased","de") 
+val embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased_opt","de") 
 .setInputCols(Array("document", "token")) 
 .setOutputCol("embeddings")
 

diff --git a/...7/2023-06-28-distilbert_embeddings_distilbert_base_german_cased_quantized_de.md b/...7/2023-06-28-distilbert_embeddings_distilbert_base_german_cased_quantized_de.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: German DistilBERT Embeddings
+title: German DistilBERT Embeddings  Quantized
 author: John Snow Labs
 name: distilbert_embeddings_distilbert_base_german_cased_quantized
 date: 2023-06-28
@@ -48,7 +48,7 @@ tokenizer = Tokenizer() \
 .setInputCols("document") \
 .setOutputCol("token")
 
-embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased","de") \
+embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased_quantized","de") \
 .setInputCols(["document", "token"]) \
 .setOutputCol("embeddings")
 
@@ -67,7 +67,7 @@ val tokenizer = new Tokenizer()
 .setInputCols(Array("document"))
 .setOutputCol("token")
 
-val embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased","de") 
+val embeddings = DistilBertEmbeddings.pretrained("distilbert_embeddings_distilbert_base_german_cased_quantized","de") 
 .setInputCols(Array("document", "token")) 
 .setOutputCol("embeddings")
 

diff --git a/docs/_posts/ahmedlone127/2023-08-01-camembert_base_opt_fr.md b/docs/_posts/ahmedlone127/2023-08-01-camembert_base_opt_fr.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: CamemBERT Base Model
+title: CamemBERT Base Model Optimized
 author: John Snow Labs
 name: camembert_base_opt
 date: 2023-08-01
@@ -39,12 +39,12 @@ For further information or requests, please go to [Camembert Website](https://ca
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 ```python
-embeddings = CamemBertEmbeddings.pretrained("camembert_base", "fr") \
+embeddings = CamemBertEmbeddings.pretrained("camembert_base_opt", "fr") \
 .setInputCols("sentence", "token") \
 .setOutputCol("embeddings")
 ```
 ```scala
-val embeddings = CamemBertEmbeddings.pretrained("camembert_base", "fr")
+val embeddings = CamemBertEmbeddings.pretrained("camembert_base_opt", "fr")
 .setInputCols("sentence", "token")
 .setOutputCol("embeddings")
 ```

diff --git a/docs/_posts/ahmedlone127/2023-08-01-camembert_base_quantized_fr.md b/docs/_posts/ahmedlone127/2023-08-01-camembert_base_quantized_fr.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: CamemBERT Base Model
+title: CamemBERT Base Model  Quantized
 author: John Snow Labs
 name: camembert_base_quantized
 date: 2023-08-01
@@ -39,12 +39,12 @@ For further information or requests, please go to [Camembert Website](https://ca
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 ```python
-embeddings = CamemBertEmbeddings.pretrained("camembert_base", "fr") \
+embeddings = CamemBertEmbeddings.pretrained("camembert_base_quantized", "fr") \
 .setInputCols("sentence", "token") \
 .setOutputCol("embeddings")
 ```
 ```scala
-val embeddings = CamemBertEmbeddings.pretrained("camembert_base", "fr")
+val embeddings = CamemBertEmbeddings.pretrained("camembert_base_quantized", "fr")
 .setInputCols("sentence", "token")
 .setOutputCol("embeddings")
 ```

diff --git a/docs/_posts/ahmedlone127/2023-08-02-albert_base_uncased_opt_en.md b/docs/_posts/ahmedlone127/2023-08-02-albert_base_uncased_opt_en.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: ALBERT Embeddings (Base Uncase)
+title: ALBERT Embeddings (Base Uncase) Optimized
 author: John Snow Labs
 name: albert_base_uncased_opt
 date: 2023-08-02
@@ -38,12 +38,12 @@ ALBERT is "A Lite" version of BERT, a popular unsupervised language representati
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 ```python
-embeddings = AlbertEmbeddings.pretrained("albert_base_uncased", "en") \
+embeddings = AlbertEmbeddings.pretrained("albert_base_uncased_opt", "en") \
 .setInputCols("sentence", "token") \
 .setOutputCol("embeddings")
 ```
 ```scala
-val embeddings = AlbertEmbeddings.pretrained("albert_base_uncased", "en")
+val embeddings = AlbertEmbeddings.pretrained("albert_base_uncased_opt", "en")
 .setInputCols("sentence", "token")
 .setOutputCol("embeddings")
 ```

diff --git a/docs/_posts/ahmedlone127/2023-08-02-albert_base_uncased_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-02-albert_base_uncased_quantized_en.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: ALBERT Embeddings (Base Uncase)
+title: ALBERT Embeddings (Base Uncase)  Quantized
 author: John Snow Labs
 name: albert_base_uncased_quantized
 date: 2023-08-02
@@ -38,12 +38,12 @@ ALBERT is "A Lite" version of BERT, a popular unsupervised language representati
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 ```python
-embeddings = AlbertEmbeddings.pretrained("albert_base_uncased", "en") \
+embeddings = AlbertEmbeddings.pretrained("albert_base_uncased_quantized", "en") \
 .setInputCols("sentence", "token") \
 .setOutputCol("embeddings")
 ```
 ```scala
-val embeddings = AlbertEmbeddings.pretrained("albert_base_uncased", "en")
+val embeddings = AlbertEmbeddings.pretrained("albert_base_uncased_quantized", "en")
 .setInputCols("sentence", "token")
 .setOutputCol("embeddings")
 ```
@@ -75,4 +75,4 @@ embeddings_df
 
 ## References
 
-[https://huggingface.co/albert-base-v2](https://huggingface.co/albert-base-v2)
+[https://huggingface.co/albert-base-v2](https://huggingface.co/albert-base-v2)
diff --git a/docs/_posts/ahmedlone127/2023-08-02-albert_large_uncased_opt_en.md b/docs/_posts/ahmedlone127/2023-08-02-albert_large_uncased_opt_en.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: ALBERT Embeddings (Large Uncase)
+title: ALBERT Embeddings (Large Uncase) Optimized
 author: John Snow Labs
 name: albert_large_uncased_opt
 date: 2023-08-02
@@ -38,12 +38,12 @@ ALBERT is "A Lite" version of BERT, a popular unsupervised language representati
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 ```python
-embeddings = AlbertEmbeddings.pretrained("albert_large_uncased", "en") \
+embeddings = AlbertEmbeddings.pretrained("albert_large_uncased_opt", "en") \
 .setInputCols("sentence", "token") \
 .setOutputCol("embeddings")
 ```
 ```scala
-val embeddings = AlbertEmbeddings.pretrained("albert_large_uncased", "en")
+val embeddings = AlbertEmbeddings.pretrained("albert_large_uncased_opt", "en")
 .setInputCols("sentence", "token")
 .setOutputCol("embeddings")
 ```

diff --git a/docs/_posts/ahmedlone127/2023-08-02-albert_large_uncased_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-02-albert_large_uncased_quantized_en.md
@@ -1,6 +1,6 @@
 ---
 layout: model
-title: ALBERT Embeddings (Large Uncase)
+title: ALBERT Embeddings (Large Uncase)  Quantized
 author: John Snow Labs
 name: albert_large_uncased_quantized
 date: 2023-08-02
@@ -38,12 +38,12 @@ ALBERT is "A Lite" version of BERT, a popular unsupervised language representati
 <div class="tabs-box" markdown="1">
 {% include programmingLanguageSelectScalaPythonNLU.html %}
 ```python
-embeddings = AlbertEmbeddings.pretrained("albert_large_uncased", "en") \
+embeddings = AlbertEmbeddings.pretrained("albert_large_uncased_quantized", "en") \
 .setInputCols("sentence", "token") \
 .setOutputCol("embeddings")
 ```
 ```scala
-val embeddings = AlbertEmbeddings.pretrained("albert_large_uncased", "en")
+val embeddings = AlbertEmbeddings.pretrained("albert_large_uncased_quantized", "en")
 .setInputCols("sentence", "token")
 .setOutputCol("embeddings")
 ```