Text Classification
Transformers
Safetensors
gemma3
image-text-to-text
medical
typed-decisions
calibrated-decisions
decision-model
clef
systemone
medgemma
custom-code
unsloth
lora
Eval Results (legacy)
Instructions to use Amaljith/medgemma-decide-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amaljith/medgemma-decide-4b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Amaljith/medgemma-decide-4b")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("Amaljith/medgemma-decide-4b") model = AutoModelForMultimodalLM.from_pretrained("Amaljith/medgemma-decide-4b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
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