Instructions to use grizzlypath26/script2sumPrototype with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use grizzlypath26/script2sumPrototype with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("grizzlypath26/script2sumPrototype") model = AutoModelForSeq2SeqLM.from_pretrained("grizzlypath26/script2sumPrototype", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from grizzlypath26/script2sumPrototype: direct link, hf CLI and curl.
- Browser
- Download file 648 MB
-
https://huggingface.co/grizzlypath26/script2sumPrototype/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://grizzlypath26/script2sumPrototype@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/grizzlypath26/script2sumPrototype/resolve/refs%2Fpr%2F1/pytorch_model.bin
648 MB
- Xet hash:
- 463c06674bc135f2168154964bfd257450f788aaa2833305153c0c0b6f005d49
- Size of remote file:
- 648 MB
- SHA256:
- e4ca5fc2e68225daeee1308650aa7b597d782a034c1d1efb5a6d9ef4c7a811b4
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