Instructions to use Partha11/results with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Partha11/results with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Partha11/results", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Partha11/results: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/Partha11/results/resolve/main/training_args.bin
- Command line
-
hf download hf://Partha11/results/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Partha11/results/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- ec42d5c787b7dab4689b6b578d8807e8204f25ba8df4d024436820a7ae5705f4
- Size of remote file:
- 5.56 kB
- SHA256:
- d7e421d3377c8577bd34cdb35262969c22f8045f561513726abe0672ef414092
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