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:
- 96ae15e8d90c8a4376ceda979eefa09fc28bc40dcdbede49eb4c5d40a2e14de1
- Size of remote file:
- 85.2 MB
- SHA256:
- 4e4d63f19e78e9174a0221f0204b791c25bfd081c2cd2fc37d17be36f0ec472a
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