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/f07ddcb7fc7ddebd7ccff2f22b9ed6acb7e7679e/pytorch_model.bin
- Command line
-
hf download hf://Python-proje/mymodel@f07ddcb7fc7ddebd7ccff2f22b9ed6acb7e7679e/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Python-proje/mymodel/resolve/f07ddcb7fc7ddebd7ccff2f22b9ed6acb7e7679e/pytorch_model.bin
558 MB
- Xet hash:
- b5b53cc0923fa331f91fc84d8895ae053c5ea6dabff909861cc54c8919516747
- Size of remote file:
- 558 MB
- SHA256:
- d7a4a2b7a0d4156d75d4f9524d66e7eea23a556466c66e3dc65f430c818f21fb
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