From aee817759a72c3acbb7d25fcd1750c90a824c91e Mon Sep 17 00:00:00 2001 From: ahmedlone127 Date: Fri, 1 Sep 2023 14:03:00 +0500 Subject: [PATCH] fixed e5 modelhub card code sections (#13950) * fixed e5 modelhub card code sections * fixing titles --- docs/_posts/ahmedlone127/2023-08-25-e5_base_opt_en.md | 6 +++--- docs/_posts/ahmedlone127/2023-08-25-e5_base_quantized_en.md | 6 +++--- docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_opt_en.md | 6 +++--- .../ahmedlone127/2023-08-25-e5_base_v2_quantized_en.md | 6 +++--- docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_opt_en.md | 6 +++--- .../ahmedlone127/2023-08-25-e5_large_v2_quantized_en.md | 6 +++--- docs/_posts/ahmedlone127/2023-08-25-e5_small_opt_en.md | 6 +++--- .../_posts/ahmedlone127/2023-08-25-e5_small_quantized_en.md | 6 +++--- docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_opt_en.md | 6 +++--- .../ahmedlone127/2023-08-25-e5_small_v2_quantized_en.md | 6 +++--- 10 files changed, 30 insertions(+), 30 deletions(-) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_base_opt_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_base_opt_en.md index f99faf717c91..2e2c0379289d 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_base_opt_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_base_opt_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Base Sentence Embeddings +title: E5 Base Sentence Embeddings Optimized author: John Snow Labs name: e5_base_opt date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_base","en") \ +embeddings =E5Embeddings.pretrained("e5_base_opt","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_base","en") +val embeddings = E5Embeddings.pretrained("e5_base_opt","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_base_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_base_quantized_en.md index 54ef0a2318bf..b1e9bd2928af 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_base_quantized_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_base_quantized_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Base Sentence Embeddings +title: E5 Base Sentence Embeddings Quantized author: John Snow Labs name: e5_base_quantized date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_base","en") \ +embeddings =E5Embeddings.pretrained("e5_base_quantized","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_base","en") +val embeddings = E5Embeddings.pretrained("e5_base_quantized","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_opt_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_opt_en.md index 0d653f873d5d..9636314542a1 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_opt_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_opt_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Base v2 Sentence Embeddings +title: E5 Base v2 Sentence Embeddings Optimized author: John Snow Labs name: e5_base_v2_opt date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_base_v2","en") \ +embeddings =E5Embeddings.pretrained("e5_base_v2_opt","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_base_v2","en") +val embeddings = E5Embeddings.pretrained("e5_base_v2_opt","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_quantized_en.md index 75437db6e111..ba48ff73b53a 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_quantized_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_base_v2_quantized_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Base v2 Sentence Embeddings +title: E5 Base v2 Sentence Embeddings Quantized author: John Snow Labs name: e5_base_v2_quantized date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_base_v2","en") \ +embeddings =E5Embeddings.pretrained("e5_base_v2_quantized","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_base_v2","en") +val embeddings = E5Embeddings.pretrained("e5_base_v2_quantized","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_opt_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_opt_en.md index 0eb10057abd8..031b7770c7d5 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_opt_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_opt_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Large V2 Sentence Embeddings +title: E5 Large V2 Sentence Embeddings Optimized author: John Snow Labs name: e5_large_v2_opt date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_large_v2","en") \ +embeddings =E5Embeddings.pretrained("e5_large_v2_opt","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_large_v2","en") +val embeddings = E5Embeddings.pretrained("e5_large_v2_opt","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_quantized_en.md index c96f3b45e1a7..2c215ebbea4f 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_quantized_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_large_v2_quantized_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Large V2 Sentence Embeddings +title: E5 Large V2 Sentence Embeddings Quantized author: John Snow Labs name: e5_large_v2_quantized date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_large_v2","en") \ +embeddings =E5Embeddings.pretrained("e5_large_v2_quantized","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_large_v2","en") +val embeddings = E5Embeddings.pretrained("e5_large_v2_quantized","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_small_opt_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_small_opt_en.md index 1e4e5a465a95..46e07a6c68ff 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_small_opt_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_small_opt_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Small Sentence Embeddings +title: E5 Small Sentence Embeddings Optimized author: John Snow Labs name: e5_small_opt date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_small","en") \ +embeddings =E5Embeddings.pretrained("e5_small_opt","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_small","en") +val embeddings = E5Embeddings.pretrained("e5_small_opt","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_small_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_small_quantized_en.md index 1390bd612bc4..0f923b3450c4 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_small_quantized_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_small_quantized_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Small Sentence Embeddings +title: E5 Small Sentence Embeddings Quantized author: John Snow Labs name: e5_small_quantized date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_small","en") \ +embeddings =E5Embeddings.pretrained("e5_small_quantized","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_small","en") +val embeddings = E5Embeddings.pretrained("e5_small_quantized","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_opt_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_opt_en.md index 3278b5279d20..a6dd2c7e680b 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_opt_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_opt_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Small V2 Sentence Embeddings +title: E5 Small V2 Sentence Embeddings Optimized author: John Snow Labs name: e5_small_v2_opt date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_small_v2","en") \ +embeddings =E5Embeddings.pretrained("e5_small_v2_opt","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_small_v2","en") +val embeddings = E5Embeddings.pretrained("e5_small_v2_opt","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings)) diff --git a/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_quantized_en.md b/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_quantized_en.md index 62165b979f01..7ed43aefe80c 100644 --- a/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_quantized_en.md +++ b/docs/_posts/ahmedlone127/2023-08-25-e5_small_v2_quantized_en.md @@ -1,6 +1,6 @@ --- layout: model -title: E5 Small V2 Sentence Embeddings +title: E5 Small V2 Sentence Embeddings Quantized author: John Snow Labs name: e5_small_v2_quantized date: 2023-08-25 @@ -38,14 +38,14 @@ Text Embeddings by Weakly-Supervised Contrastive Pre-training. Liang Wang, Nan Y
{% include programmingLanguageSelectScalaPythonNLU.html %} ```python -embeddings =E5Embeddings.pretrained("e5_small_v2","en") \ +embeddings =E5Embeddings.pretrained("e5_small_v2_quantized","en") \ .setInputCols(["documents"]) \ .setOutputCol("instructor") pipeline = Pipeline().setStages([document_assembler, embeddings]) ``` ```scala -val embeddings = E5Embeddings.pretrained("e5_small_v2","en") +val embeddings = E5Embeddings.pretrained("e5_small_v2_quantized","en") .setInputCols(["document"]) .setOutputCol("e5_embeddings") val pipeline = new Pipeline().setStages(Array(document, embeddings))