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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---
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## ID2Label Testing
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- Hcompany/WebClick
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# agent-browse / calendars / human-browse
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---
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```py
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Classification Report:
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precision recall f1-score support
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agentbrowse 0.9556 0.8763 0.9142 590
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calendars 0.9707 0.9413 0.9558 528
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humanbrowse 0.8481 0.9539 0.8979 521
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accuracy 0.9219 1639
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macro avg 0.9248 0.9238 0.9226 1639
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weighted avg 0.9263 0.9219 0.9224 1639
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```
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---
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## ID2Label Testing
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