Instructions to use fokan/MedFusion-AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fokan/MedFusion-AI with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="fokan/MedFusion-AI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("fokan/MedFusion-AI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| # fokan/medgemma-4b-it-fp16-pruned20 | |
| FP16 + 20% pruned version of `google/medgemma-4b-it` | |
| - Precision: FP16 | |
| - Pruning: L1 (20%) on all Linear layers | |
| - Balanced size/speed with minimal accuracy loss | |