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
- Xet hash:
- 1cce4be72486a083c86574e908ed9ac76320e0b903eabb051d0183784ecae4c0
- Size of remote file:
- 6.34 GB
- SHA256:
- a175910d1fdc0d0cdc0d7ed6d0e18ed374892ea0ecd0a22ddd17f2b9765fa025
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.