Text Generation
PEFT
PyTorch
Safetensors
mistral
Generated from Trainer
conversational
4-bit precision
bitsandbytes
Instructions to use HeroMask/Meddi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use HeroMask/Meddi with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.1") model = PeftModel.from_pretrained(base_model, "HeroMask/Meddi") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb481c039b4ee078bd1d3ec70065704476f4010a51f3d8c2735a77dc12032453
- Size of remote file:
- 1.05 MB
- SHA256:
- bd0687c1cf9d1d74f1bdf3218589f2b495c18d310b5ac90750ed3a28d0cd8fe0
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