Instructions to use aisha44/mistral_instructv2_generation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use aisha44/mistral_instructv2_generation with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "aisha44/mistral_instructv2_generation") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aisha44/mistral_instructv2_generation: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/aisha44/mistral_instructv2_generation/resolve/main/training_args.bin
- Command line
-
hf download hf://aisha44/mistral_instructv2_generation/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aisha44/mistral_instructv2_generation/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 3ac13cc0c2257d050011a0a1ffd0f772e586c2913be55b37a6909d77ffd9e770
- Size of remote file:
- 4.92 kB
- SHA256:
- 1ba2740ef29adff69a32995bc0c938837d39f0c02f5851d0f2dadd7c18aecbdb
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