Image Classification
Transformers
Safetensors
English
siglip
agentbrowse
calendars
humanbrowse
SigLIP2
Instructions to use prithivMLmods/WebClick-AgentBrowse-SigLIP2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/WebClick-AgentBrowse-SigLIP2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/WebClick-AgentBrowse-SigLIP2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/WebClick-AgentBrowse-SigLIP2") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/WebClick-AgentBrowse-SigLIP2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7ea7d6005dac657ca65ee3bf71f097d13c2b8bc8250b7fa1185bf2966132d0a9
- Size of remote file:
- 14.2 kB
- SHA256:
- c97012cdd1978ec7e0344b6300bf910a42d56a4d245aef0ef930a04619a5374f
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