Image Classification
Transformers
Safetensors
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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
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README.md
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import torch
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# Load model and processor
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model_name = "prithivMLmods/
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model = SiglipForImageClassification.from_pretrained(model_name)
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processor = AutoImageProcessor.from_pretrained(model_name)
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import torch
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# Load model and processor
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model_name = "prithivMLmods/WebClick-AgentBrowse-SigLIP2" # Replace with actual HF model repo
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model = SiglipForImageClassification.from_pretrained(model_name)
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processor = AutoImageProcessor.from_pretrained(model_name)
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