Instructions to use shivrajanand/temporaryupload with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivrajanand/temporaryupload with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivrajanand/temporaryupload", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download final_model/training_args.bin from shivrajanand/temporaryupload: direct link, hf CLI and curl.
- Browser
- Download file 5.84 kB
-
https://huggingface.co/shivrajanand/temporaryupload/resolve/main/final_model/training_args.bin
- Command line
-
hf download hf://shivrajanand/temporaryupload/final_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/shivrajanand/temporaryupload/resolve/main/final_model/training_args.bin
5.84 kB
- Xet hash:
- 96cd08bd6ed42c2be5fbca6ae2d477c28a875a0f2a73d391ff76c63b744bcbcf
- Size of remote file:
- 5.84 kB
- SHA256:
- 98bf1a2aeefe8df53eb75deccaf034745cc859a9567c1a09d51b2c5dfe2749b2
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