Instructions to use Cem13/mixtralep1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Cem13/mixtralep1 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/mixtralep1") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Cem13/mixtralep1: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Cem13/mixtralep1/resolve/main/training_args.bin
- Command line
-
hf download hf://Cem13/mixtralep1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Cem13/mixtralep1/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- cc6ee055de837f9f62a0945fda85db670cf6a8d901cc2ddf778ce027a44b0575
- Size of remote file:
- 4.98 kB
- SHA256:
- e5f5332d3f4e464238f0bbc2dd83e1df7a40ea760e0c73c9db2687c623ffcadd
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