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") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- Hcompany/WebClick
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base_model:
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- google/siglip2-base-patch16-224
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---
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- Hcompany/WebClick
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base_model:
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- google/siglip2-base-patch16-224
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language:
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- en
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pipeline_tag: image-classification
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library_name: transformers
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tags:
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- agentbrowse
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- calendars
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- humanbrowse
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- SigLIP2
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