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 training_args.bin from grizzlypath26/script2sumPrototype: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/grizzlypath26/script2sumPrototype/resolve/refs%2Fpr%2F1/training_args.bin
- Command line
-
hf download hf://grizzlypath26/script2sumPrototype@refs/pr/1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/grizzlypath26/script2sumPrototype/resolve/refs%2Fpr%2F1/training_args.bin
3.64 kB
- Xet hash:
- 4197dc9aac4b36c5269289202d08130283ef4a1e18c504caf2fabdf823bf7c14
- Size of remote file:
- 3.64 kB
- SHA256:
- 41432912f15aa0c54abeb227f67c3aed0cd007b21941deb9208dfc4434d67c23
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