Instructions to use hyper88/mistral-sci-phi-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hyper88/mistral-sci-phi-7B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-v0.1") model = PeftModel.from_pretrained(base_model, "hyper88/mistral-sci-phi-7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a98113a5855b2e660646ec6b5d7275dded809f4e4fc791747b933213768fc1a8
- Size of remote file:
- 43.1 MB
- SHA256:
- 83b08c8bb811c32d29c24362a780c1727ba62d7fd5f34cea8b4c0f36bdcc5e49
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