Instructions to use minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("teknium/OpenHermes-2.5-Mistral-7B") model = PeftModel.from_pretrained(base_model, "minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b: direct link, hf CLI and curl.
- Browser
- Download file 6.78 kB
-
https://huggingface.co/minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b/resolve/main/training_args.bin
- Command line
-
hf download hf://minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/minhnguyennnnnn/5b95903b-6ab0-44c3-acf9-6de2fef25c7b/resolve/main/training_args.bin
6.78 kB
- Xet hash:
- dc22c5699175fb4774fb0e4018fc16cbbacbb72a5785628006f16cef82e159f5
- Size of remote file:
- 6.78 kB
- SHA256:
- 6a1ebecbbaf56a3838c3ff1392eaf9e8f86d771ca7ea976d49fea23d11fd8a9b
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