Instructions to use VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("samoline/4f3782a6-7b9f-4ebe-b488-6b278dfed6e4") model = PeftModel.from_pretrained(base_model, "VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb/resolve/main/training_args.bin
- Command line
-
hf download hf://VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/VERSIL91/691b51e8-e2cd-46f0-877e-9087931b9edb/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- 3de7ba7c1644b3c41d95604c736e3d2112fb4e53d9ca56f1d4d837588d828837
- Size of remote file:
- 6.78 kB
- SHA256:
- 81fc26d482258668f997f860efbf380a898898ce3fe92f5dc3254c91c15f1760
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