Instructions to use ravisv73/mistral_7b-qa-knowthyself with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ravisv73/mistral_7b-qa-knowthyself 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, "ravisv73/mistral_7b-qa-knowthyself") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from ravisv73/mistral_7b-qa-knowthyself: direct link, hf CLI and curl.
- Browser
- Download file 369 MB
-
https://huggingface.co/ravisv73/mistral_7b-qa-knowthyself/resolve/main/adapter_model.bin
- Command line
-
hf download hf://ravisv73/mistral_7b-qa-knowthyself/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/ravisv73/mistral_7b-qa-knowthyself/resolve/main/adapter_model.bin
369 MB
- Xet hash:
- fc35d661d6976298561a707dcfe9af4d95a270c173965ceac87720720630dc11
- Size of remote file:
- 369 MB
- SHA256:
- 976151f7bf615fe842e3f6c2975cb9d2f156ec696b81bb72d7a32fa7bdceac49
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