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/b73da588338ac3c1ecf9b2bda7ea8d811404df0b/pytorch_model.bin
- Command line
-
hf download hf://Python-proje/mymodel@b73da588338ac3c1ecf9b2bda7ea8d811404df0b/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Python-proje/mymodel/resolve/b73da588338ac3c1ecf9b2bda7ea8d811404df0b/pytorch_model.bin
558 MB
- Xet hash:
- c4f9d5c35735a035668e9269b2f9563638c59bf7a0d92ee4b5556798c6e902dc
- Size of remote file:
- 558 MB
- SHA256:
- 045d0aabc1b6e0ea9de0ae7cb2b92ceba4d96e4be553ac8fa5ecab021253b5de
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