Image-to-Text
Transformers
PyTorch
English
deep-learning
medical-imaging
radiology
multimodal
report-generation
cross-attention
research
non-clinical
Instructions to use arxp/multimodal-clinical-reasoning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arxp/multimodal-clinical-reasoning 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="arxp/multimodal-clinical-reasoning")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("arxp/multimodal-clinical-reasoning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!