Instructions to use Python-proje/mymodel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Python-proje/mymodel with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Python-proje/mymodel") model = AutoModelForSeq2SeqLM.from_pretrained("Python-proje/mymodel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Python-proje/mymodel: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/Python-proje/mymodel/resolve/c2fc8942213b2ba20ebaee42d512e0af75e591cc/pytorch_model.bin
- Command line
-
hf download hf://Python-proje/mymodel@c2fc8942213b2ba20ebaee42d512e0af75e591cc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Python-proje/mymodel/resolve/c2fc8942213b2ba20ebaee42d512e0af75e591cc/pytorch_model.bin
558 MB
- Xet hash:
- 25b9dbfd5474bb2e9297df2b0b127e067006d867d638155a3d66f67cd955b774
- Size of remote file:
- 558 MB
- SHA256:
- ec0259137e8646a8a94a6e8d2793c97958a618b61c278f899b95fba44b68c979
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