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/92016c883fcdc47c2d146355fc5bf87336339890/pytorch_model.bin
- Command line
-
hf download hf://Python-proje/mymodel@92016c883fcdc47c2d146355fc5bf87336339890/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Python-proje/mymodel/resolve/92016c883fcdc47c2d146355fc5bf87336339890/pytorch_model.bin
558 MB
- Xet hash:
- 468d0bf50c59d48e53c46f7bab4dd14795c3b5fa95239df3181cf0bf0732a7b0
- Size of remote file:
- 558 MB
- SHA256:
- 06b6d38aa1b64278aa4f694aaec36650bd6379ab0d26de8ae9c11d7e8169129c
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