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/70e3d64ecb752e3abffc814f098b2009727354f5/pytorch_model.bin
- Command line
-
hf download hf://Python-proje/mymodel@70e3d64ecb752e3abffc814f098b2009727354f5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Python-proje/mymodel/resolve/70e3d64ecb752e3abffc814f098b2009727354f5/pytorch_model.bin
558 MB
- Xet hash:
- dfc70c835f2460afd92a2ddf7a05b3d14d5c2bf5d1b95d22a7450f77497086bc
- Size of remote file:
- 558 MB
- SHA256:
- b9f69c05e24c9ca7859a25627d9aabb52c388fc57615aeda2f754872c8a380f7
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