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 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manu02/LAnA-MIMIC 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", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("manu02/LAnA-MIMIC", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from manu02/LAnA-MIMIC: direct link, hf CLI and curl.
- Browser
- Download file 3.56 MB
-
https://huggingface.co/manu02/LAnA-MIMIC/resolve/main/tokenizer.json
- Command line
-
hf download hf://manu02/LAnA-MIMIC/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/manu02/LAnA-MIMIC/resolve/main/tokenizer.json
3.56 MB
File too large to display, you can check the raw version instead.