Instructions to use andrk9/testMistral with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use andrk9/testMistral with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-7b-hf") model = PeftModel.from_pretrained(base_model, "andrk9/testMistral") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5afbffe03a1a21df7608b9cd5431a857f8c6c17a268ab9d6be8d98a6b19305f2
- Size of remote file:
- 33.7 MB
- SHA256:
- fe2e4ca09b0a6c6516a6e0065447618b3db4cd6de700dc91ddb551e63b925136
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