Instructions to use ProceduralTree/HW3_long_training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProceduralTree/HW3_long_training with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ProceduralTree/HW3_long_training") model = AutoModelForMultipleChoice.from_pretrained("ProceduralTree/HW3_long_training") - 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:abfed05a4c2a2b66391e3be99882cd0f8ecef0d5631d78ccadb6261904da7346
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size 409101356
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