Text Classification
PEFT
Safetensors
Transformers
English
lora
clinical
medical
information-extraction
structured-extraction
decision-model
Instructions to use junma/MedJev-Qwen3.5-0.8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use junma/MedJev-Qwen3.5-0.8B with PEFT:
from peft import PeftModel from transformers import AutoModel base_model = AutoModel.from_pretrained("Qwen/Qwen3.5-0.8B-Base") model = PeftModel.from_pretrained(base_model, "junma/MedJev-Qwen3.5-0.8B") - Transformers
How to use junma/MedJev-Qwen3.5-0.8B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="junma/MedJev-Qwen3.5-0.8B")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("junma/MedJev-Qwen3.5-0.8B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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