Text Generation
PEFT
Safetensors
English
medical-llm
clinical
healthcare
medicine
medical-ai
clinical-decision-support
medical
triage
emergency-medicine
esi
grpo
lora
conversational
Instructions to use vadimbelsky/qwen3.5-esi-triage-grpo-v49 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vadimbelsky/qwen3.5-esi-triage-grpo-v49 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("models/Qwen3.5-9B") model = PeftModel.from_pretrained(base_model, "vadimbelsky/qwen3.5-esi-triage-grpo-v49") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d6ee1686f1790da17b5fba1c79a0d5d265c7cb827c24b37eabd0c2edf1f7b7b
- Size of remote file:
- 233 MB
- SHA256:
- 8a17d502832dc56d3770fa0fb05d0990ea104bd8d17790c479d67d2b457973a2
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