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-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manu02/LAnA-v4 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-v4", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("manu02/LAnA-v4", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from manu02/LAnA-v4: direct link, hf CLI and curl.
- Browser
- Download file 501 Bytes
-
https://huggingface.co/manu02/LAnA-v4/resolve/main/preprocessor_config.json
- Command line
-
hf download hf://manu02/LAnA-v4/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/manu02/LAnA-v4/resolve/main/preprocessor_config.json
501 Bytes
| { | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_processor_type": "LanaImageProcessor", | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "resample": 3, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 512, | |
| "width": 512 | |
| }, | |
| "auto_map": { | |
| "AutoProcessor": "processing_lana.LanaProcessor" | |
| }, | |
| "processor_class": "LanaProcessor" | |
| } |