Instructions to use ShivMoh/hf_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShivMoh/hf_test with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShivMoh/hf_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ShivMoh/hf_test: direct link, hf CLI and curl.
- Browser
- Download file 6.2 kB
-
https://huggingface.co/ShivMoh/hf_test/resolve/main/training_args.bin
- Command line
-
hf download hf://ShivMoh/hf_test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ShivMoh/hf_test/resolve/main/training_args.bin
6.2 kB
- Xet hash:
- 1cbd2f2cdebbd5b8429389df88404443bd999bb119ea5c13ae3ce4a61560bb00
- Size of remote file:
- 6.2 kB
- SHA256:
- 6d5f94b55dde5d9da56b312cb287e363aef3a58636174157bb34f46168e5caa5
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