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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultipleChoice tokenizer = AutoTokenizer.from_pretrained("ProceduralTree/HW3_long_training") model = AutoModelForMultipleChoice.from_pretrained("ProceduralTree/HW3_long_training", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ProceduralTree/HW3_long_training: direct link, hf CLI and curl.
- Browser
- Download file 3.45 kB
-
https://huggingface.co/ProceduralTree/HW3_long_training/resolve/main/training_args.bin
- Command line
-
hf download hf://ProceduralTree/HW3_long_training/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ProceduralTree/HW3_long_training/resolve/main/training_args.bin
3.45 kB
- Xet hash:
- 338d6a25428e2c67a1343e46dee5881ecdcb78ddb869f7975299e37172f9c3d7
- Size of remote file:
- 3.45 kB
- SHA256:
- 85c74b5fea2e8fba620da8d53782d80afdb12442938b648bc700aaa1072d2373
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