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:
- e1b85621898439f6cad0cc21a5cdda2fcaf0d253145f504d9dd0176be55b8378
- Size of remote file:
- 33.7 MB
- SHA256:
- 79d8992ce3454e6f5b2392b746972be89665bcb4818ce6f2e23af544ed03c810
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