Instructions to use togethercomputer/m2-bert-80M-2k-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use togethercomputer/m2-bert-80M-2k-retrieval with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("togethercomputer/m2-bert-80M-2k-retrieval", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Merge branch 'main' of https://huggingface.co/togethercomputer/m2-bert-80M-2k-retrieval into main
Dan Fu0d5e23e -
Making auto-etc work better
Dan Fu7be6516
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Update config.json
7ce7fcd -
Update README.md
de185e9 -
Update README.md
1ecc773 -
Update README.md
3e426fb -
Update README.md
3fdab0e -
Update README.md
ba40ea2 -
Update
Dan Fu6082b2d -
Rename model
Dan Fu32e57e8 -
Fix
Dan Fu287f84e -
Update config.json
52b2ffe -
Update bert_layers.py
0f1a7ee -
Update README.md
2f57ef2 -
Support automodel
Dan Fu307023a
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Update 2k model
Dan Fu35984ea
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Update 2k retrieval weights
Dan Fu6eca2df
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Upload 2k embedding model
Dan Fu7ebf4f2 -
initial commit
2fab855