Instructions to use Cem13/mixtral_semptom_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cem13/mixtral_semptom_1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mixtral-8x7B-v0.1") model = PeftModel.from_pretrained(base_model, "Cem13/mixtral_semptom_1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cem13/mixtral_semptom_1: direct link, hf CLI and curl.
- Browser
- Download file 5.43 kB
-
https://huggingface.co/Cem13/mixtral_semptom_1/resolve/main/training_args.bin
- Command line
-
hf download hf://Cem13/mixtral_semptom_1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cem13/mixtral_semptom_1/resolve/main/training_args.bin
5.43 kB
- Xet hash:
- 8d5ff82fdd7b5fdc7301542bbe3861d1f38779a7da119c5971dd6c2af4bf2efd
- Size of remote file:
- 5.43 kB
- SHA256:
- c6143df11c770bb500f028645adeb1c6c16aa2d198b7648eb603005a4b0aa840
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