Instructions to use ruyadisk/test_simmarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ruyadisk/test_simmarize with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ruyadisk/test_simmarize") model = AutoModelForSeq2SeqLM.from_pretrained("ruyadisk/test_simmarize", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ruyadisk/test_simmarize: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/ruyadisk/test_simmarize/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ruyadisk/test_simmarize/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ruyadisk/test_simmarize/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- a36785dfe61c27e4242c704124c35ffab4260f29ed51ec6c15ca2b2d7365389b
- Size of remote file:
- 1.2 GB
- SHA256:
- 30475f23246f343811a4a98ede1e7326574a5b3b952c9bb7146332f7dedab48d
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