Instructions to use jesschiang/tmp_trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jesschiang/tmp_trainer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jesschiang/tmp_trainer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jesschiang/tmp_trainer: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/jesschiang/tmp_trainer/resolve/main/training_args.bin
- Command line
-
hf download hf://jesschiang/tmp_trainer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jesschiang/tmp_trainer/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 3a56bf504487d38bf6e68999e926af917c77f2494e77889cded37eb7c1d05b0d
- Size of remote file:
- 5.56 kB
- SHA256:
- 41b494d5dec32d0e4700d1b02ea6205577b4f4d5ff24f6a7fde6bb693730e7aa
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