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
File size: 325 Bytes
baa684b | 1 2 3 4 5 6 7 8 9 10 11 | {
"audio_bos_token": "<|audio_start|>",
"audio_eos_token": "<|audio_end|>",
"audio_token": "<|audio_pad|>",
"eos_token": "<|im_end|>",
"image_token": "<|image_pad|>",
"pad_token": "<|endoftext|>",
"video_token": "<|video_pad|>",
"vision_bos_token": "<|vision_start|>",
"vision_eos_token": "<|vision_end|>"
} |