Instructions to use kejian/improved-condition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kejian/improved-condition with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("kejian/improved-condition") model = AutoModel.from_pretrained("kejian/improved-condition", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kejian/improved-condition: direct link, hf CLI and curl.
- Browser
- Download file 3.39 kB
-
https://huggingface.co/kejian/improved-condition/resolve/main/training_args.bin
- Command line
-
hf download hf://kejian/improved-condition/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kejian/improved-condition/resolve/main/training_args.bin
3.39 kB
- Xet hash:
- b4960c34c9e5b190c97944241cc76244847e662e33acb059ec3d254eebd80153
- Size of remote file:
- 3.39 kB
- SHA256:
- cd0c58c8d63b942fe97a8b25fded36378ac50000dedb5ed5b74427aae0ad87b8
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