Image Classification
Transformers
Safetensors
English
siglip
fashion
product
season
siglip2
image
classification
Instructions to use prithivMLmods/Fashion-Product-Season with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Fashion-Product-Season with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Fashion-Product-Season") 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/Fashion-Product-Season") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Fashion-Product-Season", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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language:
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pipeline_tag: image-classification
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library_name: transformers
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language:
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pipeline_tag: image-classification
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library_name: transformers
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tags:
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