Instructions to use goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/a67c6c00-95bf-4087-a1af-b6ce6bc91438") model = PeftModel.from_pretrained(base_model, "goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d/resolve/main/training_args.bin
- Command line
-
hf download hf://goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/goodlucky55555/a02c581c-e7e4-4868-aea2-811132e8c84d/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- e67ad04daf53ab7a0867376b24c887e9699e895229a05d8f09220d4ffaad6613
- Size of remote file:
- 6.78 kB
- SHA256:
- 98827cc5a5f7bb7b9e37bfb7947f98e9c3f71d222a1b9e8c34c635d0f8a0c9a7
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