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:
# pip install -U transformers accelerate # 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
Commit History
-
Making automodel work better
Dan Fua2ccdc5
-
Update config.json
b9ecfc0 -
Update README.md
4ead5f4 -
Rename
Dan Fue78fc96 -
Update README.md
52417f9 -
Merge branch 'main' of https://huggingface.co/togethercomputer/m2-bert-80M-32k-retrieval into main
Dan Fuea3da5b -
Automodel support
Dan Fuebf62d6
-
Upload model.bin
f778d5a
-
Upload model.bin
20b8bd1
-
Upload model.bin
131c233 -
Upload model.bin
a38b3f9
-
Update config.yaml
a599b20 -
32k retrieval model
Dan Fu5059123 -
initial commit
d305250