Visual Question Answering
Transformers
Safetensors
English
panovlm_decision
feature-extraction
panovlm
decision-model
calibration
fastvit
linear-attention
custom_code
Instructions to use PanocularAI/PanoVLD-500M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PanocularAI/PanoVLD-500M with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "visual-question-answering" 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("visual-question-answering", model="PanocularAI/PanoVLD-500M", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PanocularAI/PanoVLD-500M", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 297 Bytes
1ba3d87 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"image_processor_type": "PanoVLMImageProcessor",
"image_size": 768,
"image_resize_mode": "pad",
"image_mean": [
0.0,
0.0,
0.0
],
"image_std": [
1.0,
1.0,
1.0
],
"auto_map": {
"AutoImageProcessor": "image_processing_panovlm.PanoVLMImageProcessor"
}
} |