Instructions to use nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Hermes-3-Llama-3.1-8B") model = PeftModel.from_pretrained(base_model, "nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9/resolve/38ffc899298be44f27d0819e90189f37e81e5731/training_args.bin
- Command line
-
hf download hf://nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9@38ffc899298be44f27d0819e90189f37e81e5731/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/nhung02/4ccba7c6-2cfc-4b36-9dbf-6b53ef8fb2d9/resolve/38ffc899298be44f27d0819e90189f37e81e5731/training_args.bin
6.78 kB
- Xet hash:
- 96d1f3b30cae1acedf7ffeed08a10e805bc96963e94e0028e76c7519f84a2ed3
- Size of remote file:
- 6.78 kB
- SHA256:
- cb3aa0f0dd0606e0f1d00a1fb10a7f0cfc3b56477eba39fd0eac4a2c79b1018f
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