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:
- 26b9d0a9d4fab0a22a41d002dd3206aac6ff8ea4a2c5d7372389b88fb42a6119
- Size of remote file:
- 1.05 MB
- SHA256:
- 0732ae6e14a1243decd1c1c9ef24e602620aac42a0febe9fc8729b3513cf666e
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