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:
- 9d870157cca5c0324aa0e7aaf7561ab18bee7931a4c50795645b086d5dea23a6
- Size of remote file:
- 33.7 MB
- SHA256:
- 86d459429a5d6f3262e6fbe255a2ee4932b6410a1a80593cdce61cd73243aef6
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