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:
- 259a815ca486554710732273537eece6af4625bb8c47e51367366e71fea0eb10
- Size of remote file:
- 1.06 kB
- SHA256:
- b3d9cf8f10aba8a3302952a360abdcfb1363cfc0f35d165f9ec2a8f5c11921d3
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