Instructions to use sercetexam9/outputs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sercetexam9/outputs with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sercetexam9/outputs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download training_args.bin from sercetexam9/outputs: direct link, hf CLI and curl.
- Browser
- Download file 5.62 kB
-
https://huggingface.co/sercetexam9/outputs/resolve/main/training_args.bin
- Command line
-
hf download hf://sercetexam9/outputs/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/sercetexam9/outputs/resolve/main/training_args.bin
5.62 kB
- Xet hash:
- 7bef61d91b402b4e24bf0330ca8b4bb3051d56b78825ee9a285ed12ca7596da0
- Size of remote file:
- 5.62 kB
- SHA256:
- 5c9867967f5e9f8f105bcfee66c39909d65cc668c3ef6a8ec10751ea1825c4d9
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