Instructions to use Cem13/mixtral_generation_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cem13/mixtral_generation_0 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_generation_0") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cem13/mixtral_generation_0: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Cem13/mixtral_generation_0/resolve/main/training_args.bin
- Command line
-
hf download hf://Cem13/mixtral_generation_0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cem13/mixtral_generation_0/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- d5134984faaab3468447d6a2d01a1396f52fdc54304e549993dfdd09a4c4048d
- Size of remote file:
- 5.05 kB
- SHA256:
- f00aaf31f79a6a347952262466011af816c2b3f4dbdc6f1cbae28f7ce096457c
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