Instructions to use error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("hf-tiny-model-private/tiny-random-OPTForCausalLM") model = PeftModel.from_pretrained(base_model, "error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2: direct link, hf CLI and curl.
- Browser
- Download file 6.71 kB
-
https://huggingface.co/error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2/resolve/eb8b8c608cd5b44e0525128e693c37f7d8b3d727/training_args.bin
- Command line
-
hf download hf://error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2@eb8b8c608cd5b44e0525128e693c37f7d8b3d727/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/error577/942cfd35-534e-4ab7-9dd2-335ce292d7c2/resolve/eb8b8c608cd5b44e0525128e693c37f7d8b3d727/training_args.bin
6.71 kB
- Xet hash:
- b393714b510d9b824d1c9a5ad142aa7728b1d3014ce6cdd43ef5d5e19c55f7bc
- Size of remote file:
- 6.71 kB
- SHA256:
- 2caa340751eb629c0892c628c1e0a65f2ff41e852e44322e7d676f2d14a613d7
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