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Merge pull request #2720 from saikartheekb/patch-1
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Update models_en_sentence_embeddings.html
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@tomaarsen
tomaarsen authored Jun 5, 2024
2 parents 1608eb8 + 707830a commit fc1b7d0
Showing 1 changed file with 13 additions and 13 deletions.
26 changes: 13 additions & 13 deletions docs/_static/html/models_en_sentence_embeddings.html
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},
{
"name": "multi-qa-MiniLM-L6-dot-v1",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"base_model": '<a href="https://huggingface.co/nreimers/MiniLM-L6-H384-uncased" target="_blank">nreimers/MiniLM-L6-H384-uncased</a>',
"pooling": "CLS Pooling",
"training_data": "215M (question, answer) pairs from diverse sources.",
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},
{
"name": "multi-qa-MiniLM-L6-cos-v1",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"base_model": '<a href="https://huggingface.co/nreimers/MiniLM-L6-H384-uncased" target="_blank">nreimers/MiniLM-L6-H384-uncased</a>',
"pooling": "Mean Pooling",
"training_data": "215M (question, answer) pairs from diverse sources.",
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},
{
"name": "multi-qa-distilbert-dot-v1",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"base_model": '<a href="https://huggingface.co/distilbert-base" target="_blank">distilbert-base</a>',
"pooling": "CLS Pooling",
"training_data": "215M (question, answer) pairs from diverse sources.",
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},
{
"name": "multi-qa-distilbert-cos-v1",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"base_model": '<a href="https://huggingface.co/distilbert-base" target="_blank">distilbert-base</a>',
"pooling": "Mean Pooling",
"training_data": "215M (question, answer) pairs from diverse sources.",
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},
{
"name": "multi-qa-mpnet-base-dot-v1",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"base_model": '<a href="https://huggingface.co/microsoft/mpnet-base" target="_blank"microsoft/mpnet-base</a>',
"pooling": "CLS Pooling",
"training_data": "215M (question, answer) pairs from diverse sources.",
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},
{
"name": "multi-qa-mpnet-base-cos-v1",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on a large and diverse set of (question, answer) pairs.",
"base_model": '<a href="https://huggingface.co/microsoft/mpnet-base" target="_blank">microsoft/mpnet-base</a>',
"pooling": "Mean Pooling",
"training_data": "215M (question, answer) pairs from diverse sources.",
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},
{
"name": "msmarco-distilbert-dot-v5",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on the MS MARCO passages dataset.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on the MS MARCO passages dataset.",
"base_model": '<a href="https://huggingface.co/distilbert-base" target="_blank">distilbert-base</a>',
"pooling": "Mean Pooling",
"training_data": "500k (query, answer) pairs from MS MARCO Passages dataset.",
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},
{
"name": "msmarco-bert-base-dot-v5",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on the MS MARCO passages dataset.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on the MS MARCO passages dataset.",
"base_model": '<a href="https://huggingface.co/Luyu/co-condenser-marco" target="_blank">Luyu/co-condenser-marco</a>',
"pooling": "Mean Pooling",
"training_data": "500k (query, answer) pairs from MS MARCO Passages dataset.",
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},
{
"name": "msmarco-distilbert-base-tas-b",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages. It was trained on the MS MARCO passages dataset.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages. It was trained on the MS MARCO passages dataset.",
"base_model": '<a href="https://huggingface.co/distilbert-base" target="_blank">distilbert-base</a>',
"pooling": "Mean Pooling",
"training_data": "500k (query, answer) pairs from MS MARCO Passages dataset.",
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},
{
"name": "gtr-t5-base",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages.",
"base_model": '<a href="https://huggingface.co/t5-base" target="_blank">t5-base</a>',
"pooling": "Mean Pooling",
"training_data": "2B question-answer pairs from diverse online communities and then on MS-MARCO.",
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},
{
"name": "gtr-t5-large",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages.",
"base_model": '<a href="https://huggingface.co/t5-large" target="_blank">t5-large</a>',
"pooling": "Mean Pooling",
"training_data": "2B question-answer pairs from diverse online communities and then on MS-MARCO.",
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},
{
"name": "gtr-t5-xl",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages.",
"base_model": '<a href="https://huggingface.co/t5-3b" target="_blank">t5-3b</a>',
"pooling": "Mean Pooling",
"training_data": "2B question-answer pairs from diverse online communities and then on MS-MARCO.",
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},
{
"name": "gtr-t5-xxl",
"description": "This model was tuned for semantic search: Given a query/question, if can find relevant passages.",
"description": "This model was tuned for semantic search: Given a query/question, it can find relevant passages.",
"base_model": '<a href="https://huggingface.co/t5-11b" target="_blank">t5-11b</a>',
"pooling": "Mean Pooling",
"training_data": "2B question-answer pairs from diverse online communities and then on MS-MARCO.",
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