Instructions to use s2510436/3333 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use s2510436/3333 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("s2510436/3333", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from s2510436/3333: direct link, hf CLI and curl.
- Browser
- Download file 6.16 kB
-
https://huggingface.co/s2510436/3333/resolve/main/training_args.bin
- Command line
-
hf download hf://s2510436/3333/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/s2510436/3333/resolve/main/training_args.bin
6.16 kB
- Xet hash:
- 0d4eb7de3ea0321e9bd9eb50b0182467be12dbb6471d8494dc4a75571bfafe24
- Size of remote file:
- 6.16 kB
- SHA256:
- 9682d8d72159bc2316c74e94a465004c1227ee8365d924436184d2fc23aec0b3
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