Image-to-Text
Transformers
Safetensors
lana_radgen
feature-extraction
medical-ai
radiology
chest-xray
report-generation
segmentation
anatomical-attention
custom_code
Instructions to use manu02/LAnA-MIMIC-CHEXPERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manu02/LAnA-MIMIC-CHEXPERT 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="manu02/LAnA-MIMIC-CHEXPERT", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("manu02/LAnA-MIMIC-CHEXPERT", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_processor": { | |
| "do_resize": true, | |
| "size": { | |
| "height": 512, | |
| "width": 512 | |
| }, | |
| "resample": 3, | |
| "do_rescale": true, | |
| "rescale_factor": 0.00392156862745098, | |
| "do_normalize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "do_convert_rgb": true, | |
| "image_processor_type": "LanaImageProcessor" | |
| }, | |
| "processor_class": "LanaProcessor", | |
| "auto_map": { | |
| "AutoProcessor": "processing_lana.LanaProcessor" | |
| } | |
| } |