Instructions to use ismaeltorres00/Modelodetest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ismaeltorres00/Modelodetest with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ismaeltorres00/Modelodetest") 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("ismaeltorres00/Modelodetest") model = AutoModelForImageClassification.from_pretrained("ismaeltorres00/Modelodetest") - Notebooks
- Google Colab
- Kaggle
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tags:
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- vision
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- image-classification
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datasets:
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- omarques/autotrain-data-dogs-and-cats
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license: cc-by-nc-4.0
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tags:
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- vision
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- image-classification
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datasets:
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- omarques/autotrain-data-dogs-and-cats
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Esto es un ejercicio del curso de IABD
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