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:
- d739f80c1f2c639d68558838b70e4dcee59b1f3936620d1398c83e56c03253c4
- Size of remote file:
- 16.8 MB
- SHA256:
- e89447616aaca469bb6106ebcb8ceb874e823d65a63eb3b53c8db20befadc78e
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