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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 99e77340d5859c9b87e6646600147956ce349138a8a8d0b0659aed3c046a5528
- Size of remote file:
- 441 MB
- SHA256:
- d1905a6624d056e162ebdcfab4af48c6e317b4df34c3e7840fafe4f499d79bbb
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