Text Generation
PEFT
Safetensors
clinical-trial
reinforcement-learning
REINFORCE
lora
qwen3
openenv
hackathon
theme-2
conversational
Instructions to use pratimassaravanan/clinical-qwen3-4b-sft-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use pratimassaravanan/clinical-qwen3-4b-sft-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen3-4B-unsloth-bnb-4bit") model = PeftModel.from_pretrained(base_model, "pratimassaravanan/clinical-qwen3-4b-sft-lora") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from pratimassaravanan/clinical-qwen3-4b-sft-lora: direct link, hf CLI and curl.
- Browser
- Download file 132 MB
-
https://huggingface.co/pratimassaravanan/clinical-qwen3-4b-sft-lora/resolve/a429710c253c03e9a709056d038c96a963d88e10/adapter_model.safetensors
- Command line
-
hf download hf://pratimassaravanan/clinical-qwen3-4b-sft-lora@a429710c253c03e9a709056d038c96a963d88e10/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/pratimassaravanan/clinical-qwen3-4b-sft-lora/resolve/a429710c253c03e9a709056d038c96a963d88e10/adapter_model.safetensors
132 MB
- Xet hash:
- cf91e6eba120f4c3ea4ee6656c341051719f5f6a67c75491d0bc1ba194398954
- Size of remote file:
- 132 MB
- SHA256:
- d9b2e5808df0b8a2e0129cfba4b89ff36c937ea29cc4738f2cdfbc999bcc335e
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