Instructions to use ProceduralTree/HW3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ProceduralTree/HW3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ProceduralTree/HW3") model = AutoModelForMultipleChoice.from_pretrained("ProceduralTree/HW3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ProceduralTree/HW3: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/ProceduralTree/HW3/resolve/main/training_args.bin
- Command line
-
hf download hf://ProceduralTree/HW3/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ProceduralTree/HW3/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- d97231f6702b95a5d6338e5479702ee1ae38e3eddc002b7b534576212dc3d7fd
- Size of remote file:
- 3.39 kB
- SHA256:
- 14e678515cce630111293383c1bb20a330686bc78615b2b113bcc2a4b4d22c77
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