Instructions to use Cshavi/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cshavi/outputs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Cshavi/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from Cshavi/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.97 kB
-
https://huggingface.co/Cshavi/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://Cshavi/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cshavi/outputs/resolve/main/training_args.bin
5.97 kB
- Xet hash:
- 1efd2b2b85b47a8a6b50fbacf55cfbf3abd81f3f4194117ac8d3fed9d63c7b7e
- Size of remote file:
- 5.97 kB
- SHA256:
- d859013bda50bb3901f2751f2cc871b1e136483b51f3f4b0630361b415690225
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