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CPU Upgrade
Commit
•
66b95b9
1
Parent(s):
6af949b
Add model links
Browse files
app.py
CHANGED
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@@ -163,7 +163,35 @@ EXTERNAL_MODELS = [
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EXTERNAL_MODEL_TO_LINK = {
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"LASER2": "https://github.com/facebookresearch/LASER",
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"text-similarity-ada-001": "https://beta.openai.com/docs/guides/embeddings/types-of-embedding-models",
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}
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EXTERNAL_MODEL_RESULTS = {model: {k: {v: []} for k, v in TASK_TO_METRIC.items()} for model in EXTERNAL_MODELS}
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def add_lang(examples):
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EXTERNAL_MODEL_TO_LINK = {
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"LASER2": "https://github.com/facebookresearch/LASER",
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"text-similarity-ada-001": "https://beta.openai.com/docs/guides/embeddings/types-of-embedding-models",
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"LaBSE": "https://huggingface.co/sentence-transformers/LaBSE",
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"sentence-t5-xxl": "https://huggingface.co/sentence-transformers/sentence-t5-xxl",
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"sentence-t5-xl": "https://huggingface.co/sentence-transformers/sentence-t5-xl",
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"sentence-t5-large": "https://huggingface.co/sentence-transformers/sentence-t5-large",
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"sentence-t5-base": "https://huggingface.co/sentence-transformers/sentence-t5-base",
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"gtr-t5-xxl": "https://huggingface.co/sentence-transformers/gtr-t5-xxl",
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"gtr-t5-xl": "https://huggingface.co/sentence-transformers/gtr-t5-xl",
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"gtr-t5-large": "https://huggingface.co/sentence-transformers/gtr-t5-large",
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"gtr-t5-base": "https://huggingface.co/sentence-transformers/gtr-t5-base",
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"gtr-t5-xxl": "https://huggingface.co/sentence-transformers/gtr-t5-xxl",
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"gtr-t5-xl": "https://huggingface.co/sentence-transformers/gtr-t5-xl",
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"gtr-t5-large": "https://huggingface.co/sentence-transformers/gtr-t5-large",
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"gtr-t5-base": "https://huggingface.co/sentence-transformers/gtr-t5-base",
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"bert-base-uncased": "https://huggingface.co/bert-base-uncased",
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"allenai-specter": "https://huggingface.co/sentence-transformers/allenai-specter",
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"allenai-specter": "https://huggingface.co/sentence-transformers/allenai-specter",
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"unsup-simcse-bert-base-uncased": "https://huggingface.co/princeton-nlp/unsup-simcse-bert-base-uncased",
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"sup-simcse-bert-base-uncased": "https://huggingface.co/princeton-nlp/sup-simcse-bert-base-uncased",
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"komninos": "https://huggingface.co/sentence-transformers/average_word_embeddings_komninos",
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"glove.6B.300d": "https://huggingface.co/sentence-transformers/average_word_embeddings_glove.6B.300d",
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"msmarco-bert-co-condensor": "https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor",
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"all-MiniLM-L12-v2": "https://huggingface.co/sentence-transformers/all-MiniLM-L12-v2",
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"all-MiniLM-L6-v2": "https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2",
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"all-mpnet-base-v2": "https://huggingface.co/sentence-transformers/all-mpnet-base-v2",
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"paraphrase-multilingual-mpnet-base-v2": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2",
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"paraphrase-multilingual-MiniLM-L12-v2": "https://huggingface.co/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
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}
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EXTERNAL_MODEL_RESULTS = {model: {k: {v: []} for k, v in TASK_TO_METRIC.items()} for model in EXTERNAL_MODELS}
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def add_lang(examples):
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