Instructions to use upaya07/Arithmo2-Mistral-7B-adapter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use upaya07/Arithmo2-Mistral-7B-adapter with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "upaya07/Arithmo2-Mistral-7B-adapter") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from upaya07/Arithmo2-Mistral-7B-adapter: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/upaya07/Arithmo2-Mistral-7B-adapter/resolve/main/training_args.bin
- Command line
-
hf download hf://upaya07/Arithmo2-Mistral-7B-adapter/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/upaya07/Arithmo2-Mistral-7B-adapter/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 610116a59500b386aca0642bd6fbf52a3f066879b7d40e317264fb3d6fd997eb
- Size of remote file:
- 4.98 kB
- SHA256:
- 467cc9a5b96675eb1ff3cb518c6f8bbb3eb7d134d485af92b069d68a585b8cb2
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