Instructions to use ScaDSAI/final_mistral_idk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ScaDSAI/final_mistral_idk with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3") model = PeftModel.from_pretrained(base_model, "ScaDSAI/final_mistral_idk") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10b74a9b7d6b08fcb8adb610feba75566c81e6a90c94c99a245d06f57fc67c67
- Size of remote file:
- 8.02 kB
- SHA256:
- 8de22ae7c66ab040f7bc028eb17ec134ffc085870a64d32dde0f3527ed445e8a
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