Text Generation
PEFT
Safetensors
English
qwen3_5
healthcare
medical
clinical-reasoning
chain-of-thought
grounded-generation
hallucination-mitigation
safety
adaptive-data
autoscientist
lora
qwen
fine-tuned
conversational
Instructions to use hetanshwaghela/autoscientist-healthcare-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use hetanshwaghela/autoscientist-healthcare-reasoning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B") model = PeftModel.from_pretrained(base_model, "hetanshwaghela/autoscientist-healthcare-reasoning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cbe7ec6f7fececa5ef0e1a8a4d42d6cc7442fd7a1074827535646d29c02315a6
- Size of remote file:
- 17.3 MB
- SHA256:
- b8080d52df17541d698b0227197888d8468d48c9a2ae609bbb4cfb2c75622a30
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