Instructions to use AishaKanwal/ModelsClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AishaKanwal/ModelsClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="AishaKanwal/ModelsClassification") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("AishaKanwal/ModelsClassification") model = AutoModelForImageClassification.from_pretrained("AishaKanwal/ModelsClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5e76384886cdc40fe73c882cdb15dea5d3745c680ba6493045d7d660705877f
- Size of remote file:
- 4.03 kB
- SHA256:
- 4e593f9c2f71cd5e881cdefc60ae9dc073eb86b66b7276ff2657379127c239c5
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