Instructions to use Zrald/GE-Mistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Zrald/GE-Mistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "Zrald/GE-Mistral") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Zrald/GE-Mistral: direct link, hf CLI and curl.
- Browser
- Download file 6.23 kB
-
https://huggingface.co/Zrald/GE-Mistral/resolve/main/training_args.bin
- Command line
-
hf download hf://Zrald/GE-Mistral/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Zrald/GE-Mistral/resolve/main/training_args.bin
6.23 kB
- Xet hash:
- 3ba82c4e144ef876d5dd742baf98dc8ce7707ea54f78056a9469f9d5bc883b12
- Size of remote file:
- 6.23 kB
- SHA256:
- dad89ec79385e6fb3506dfc08148a55540ea15b451a698b1301a55cf90c385fd
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