Instructions to use mingxilei/output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mingxilei/output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mingxilei/output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from mingxilei/output: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/mingxilei/output/resolve/main/training_args.bin
- Command line
-
hf download hf://mingxilei/output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/mingxilei/output/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- d408c32acdd4a28dd9e81b0c5a794bdb2defbff892c35e14031203a115a9f264
- Size of remote file:
- 6.29 kB
- SHA256:
- 4c2f62137d44f4ec00b3ed05de7a6f2f13bbd82d99cadc5dcc38b02ecf655986
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