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 training_args.bin from Python-proje/mymodel: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/Python-proje/mymodel/resolve/70e3d64ecb752e3abffc814f098b2009727354f5/training_args.bin
- Command line
-
hf download hf://Python-proje/mymodel@70e3d64ecb752e3abffc814f098b2009727354f5/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Python-proje/mymodel/resolve/70e3d64ecb752e3abffc814f098b2009727354f5/training_args.bin
3.77 kB
- Xet hash:
- 34ffca6528121d4a91cfea5ddd2cc52e0ab529cc669a3e0500fe4dcd7113eb12
- Size of remote file:
- 3.77 kB
- SHA256:
- 78c8433d004fcc4fc36720046e7f6b37bc5e4cf96788607ce83691cb603c0f4e
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