Comments (1)
The following is a list of models that we wish to verify compatibility with, per-task type. The list is based off of the base models and tokenizers that we support, and the tasks we support.
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fill_mask
- bert-base-uncased
- distilbert-base-uncased
- distilroberta-base
- roberta-base
- xlm-roberta-base
- cl-tohoku/bert-base-japanese
- google/electra-base-discriminator
- google/mobilebert-uncased
- facebook/bart-base
- microsoft/mpnet-base
- squeezebert/squeezebert-uncased
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ner
- dbmdz/bert-large-cased-finetuned-conll03-english
- dslim/bert-base-NER
- elastic/distilbert-base-cased-finetuned-conll03-english
- elastic/distilbert-base-uncased-finetuned-conll03-english
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text_expansion
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text_classification
- distilbert-base-uncased-finetuned-sst-2-english
- SamLowe/roberta-base-go_emotions
- cardiffnlp/twitter-roberta-base-irony
- ProsusAI/finbert
- j-hartmann/emotion-english-distilroberta-base
- cardiffnlp/twitter-roberta-base-sentiment-latest
- roberta-large-mnli
- huggingface/distilbert-base-uncased-finetuned-mnli
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text_embedding
- intfloat/e5-small-v2
- intfloat/e5-base-v2
- intfloat/e5-large-v2
- intfloat/multilingual-e5-small
- intfloat/multilingual-e5-base
- intfloat/multilingual-e5-large
- BAAI/bge-small-en-v1.5
- BAAI/bge-base-en-v1.5
- BAAI/bge-large-en-v1.5
- thenlper/gte-small
- thenlper/gte-base
- thenlper/gte-large
- sentence-transformers/all-mpnet-base-v2
- sentence-transformers/all-MiniLM-L6-v2
- sentence-transformers/all-MiniLM-L12-v2
- sentence-transformers/all-distilroberta-v1
- sentence-transformers/multi-qa-MiniLM-L6-cos-v1
- sentence-transformers/multi-qa-mpnet-base-dot-v1
- sentence-transformers/paraphrase-multilingual-mpnet-base-v2
- sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2
- sentence-transformers/paraphrase-MiniLM-L3-v2
- sentence-transformers/paraphrase-MiniLM-L6-v2
- sentence-transformers/paraphrase-mpnet-base-v2
- sentence-transformers/distiluse-base-multilingual-cased-v2
- sentence-transformers/msmarco-distilbert-base-tas-b
- sentence-transformers/msmarco-MiniLM-L12-cos-v5
- sentence-transformers/LaBSE
- sentence-transformers/facebook-dpr-ctx_encoder-single-nq-base
- sentence-transformers/facebook-dpr-question_encoder-single-nq-base
- sentence-transformers/facebook-dpr-ctx_encoder-multiset-base
- sentence-transformers/facebook-dpr-question_encoder-multiset-base
- facebook/dpr-ctx_encoder-single-nq-base
- facebook/dpr-question_encoder-single-nq-base
- facebook/dpr-ctx_encoder-multiset-base
- facebook/dpr-question_encoder-multiset-base
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zero_shot_classification
- facebook/bart-large-mnli
- vicgalle/xlm-roberta-large-xnli-anli
- valhalla/distilbart-mnli-12-1
- typeform/distilbert-base-uncased-mnli
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question_answering
- deepset/roberta-base-squad2
- distilbert-base-uncased-distilled-squad
- deepset/bert-large-uncased-whole-word-masking-squad2
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text_similarity
- cross-encoder/ms-marco-MiniLM-L-6-v2
- cross-encoder/ms-marco-TinyBERT-L-2-v2
from eland.
Related Issues (20)
- `RandomForestClassifier` model cannot be uploaded HOT 7
- A possible issue with eland.Dataframe.value_counts(), the statistical information is missing some values
- Is there a way to return _scores when using es_query or es_match?
- [NLP] Unable to install eland[pytorch] using pip due to unable to find matching pytorch HOT 2
- Cannot append fields of type "dense vectorfield type
- Cannot append fields of type "dense_vector" to an existing index HOT 1
- why openai/clip-vit-base-patch32 model not support ! HOT 2
- support adding cert path to eland_import_hub_model script HOT 4
- Feedback 🗣️
- Failed to import huggingface model: cardiffnlp/twitter-roberta-base-sentiment HOT 1
- Upgrade PyTorch to version 2.1.2 and
- Support Python 3.11 HOT 1
- Conda downgrades Elasticsearch when installing eland HOT 1
- Learning to rank tests failing HOT 1
- More error information is needed when using pandas_to_eland()
- Support for TaylorAI/gte-tiny
- DataFrame(serverless_client) fails with `TypeError: 'Elasticsearch' object is not iterable` HOT 1
- Support for importing model HOT 5
- Fields (multi-fields?) specified in eland.Dataframe columns variable are not always returned HOT 3
- Add CLI for deploying built-in models HOT 3
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