Instructions to use jonas-mo/trainer_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonas-mo/trainer_output with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonas-mo/trainer_output", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jonas-mo/trainer_output: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/jonas-mo/trainer_output/resolve/main/training_args.bin
- Command line
-
hf download hf://jonas-mo/trainer_output/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jonas-mo/trainer_output/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 8ff174f9ae0b08c5f2f3d63d649140bedcdef072317b9d953a5e0168f7e3a45c
- Size of remote file:
- 5.71 kB
- SHA256:
- 567e4e9e917c590d85d4cbc18cd681f3951f6a6928988a1c716f5918175c2228
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