Text Generation
PEFT
Safetensors
qwen
qwen3
lora
biomedical-entity-linking
clinical-nlp
concept-normalization
reranking
candidate-ranking
reasoning
reinforcement-learning
conversational
Instructions to use Tao-AI-Informatics/Qwen3-8B-LoRA-ContextBioEL-Reranker-RL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Tao-AI-Informatics/Qwen3-8B-LoRA-ContextBioEL-Reranker-RL with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/dgx1data/aii/tao/tools/models/Qwen/Qwen3-8B/models--Qwen--Qwen3-8B/snapshots/b968826d9c46dd6066d109eabc6255188de91218") model = PeftModel.from_pretrained(base_model, "Tao-AI-Informatics/Qwen3-8B-LoRA-ContextBioEL-Reranker-RL") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dde3c5a4d468da6fe61f11ffa8f04af2d101f8f4a0fe118c37bd31bb8c3017b6
- Size of remote file:
- 11.4 MB
- SHA256:
- be75606093db2094d7cd20f3c2f385c212750648bd6ea4fb2bf507a6a4c55506
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