Instructions to use togethercomputer/m2-bert-80M-32k-retrieval with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use togethercomputer/m2-bert-80M-32k-retrieval with Transformers:
# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("togethercomputer/m2-bert-80M-32k-retrieval", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:534c12ac6fcc3c4f344be83f12fc267c70c54b291dc560be880ee2d017b9f6d3
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size 441058680
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