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-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manu02/LAnA-v2 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-v2", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("manu02/LAnA-v2", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 501 Bytes
ab97d9b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | {
"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"
} |