Text Generation
PEFT
Safetensors
English
clinical
extraction
medical
qlora
lora
healthcare
on-prem
conversational
Instructions to use shekharp77/Mira-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use shekharp77/Mira-1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/qwen2.5-3b-instruct-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "shekharp77/Mira-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a5452660a620d588ca9cd738b755bfcea232c49ebd77322a705b54ddb8da418e
- Size of remote file:
- 120 MB
- SHA256:
- 15fb422beab5e8cdd789c95dadae49c32973f1cc68be23bf58fc4a1d0e3ee2a9
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