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 tokenizer.json from pratimassaravanan/clinical-qwen3-4b-sft-lora: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/pratimassaravanan/clinical-qwen3-4b-sft-lora/resolve/main/tokenizer.json
- Command line
-
hf download hf://pratimassaravanan/clinical-qwen3-4b-sft-lora/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/pratimassaravanan/clinical-qwen3-4b-sft-lora/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- c3952fe2e8a66337451effa41f9d1a5837c36dfc0bfb505372d769a836b4e654
- Size of remote file:
- 11.4 MB
- SHA256:
- d7430e9138b76e93fb6f93462394d236b411111aef53cb421ba97d2691040cca
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