Instructions to use kejian/final-ul with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/final-ul with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/final-ul") model = AutoModel.from_pretrained("kejian/final-ul", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/final-ul: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/final-ul/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/final-ul/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/final-ul/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- 72dbb06366254c59dd3126e19504545fb23bae42ee432e8dd0a8046b633b6543
- Size of remote file:
- 3.39 kB
- SHA256:
- eff388ac120827f914eb1a40fb5af820c8b87b7e7a9de17d07dbba7005267dc0
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