Instructions to use davanstrien/flyswot_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/flyswot_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="davanstrien/flyswot_test") 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("davanstrien/flyswot_test") model = AutoModelForImageClassification.from_pretrained("davanstrien/flyswot_test") - Notebooks
- Google Colab
- Kaggle
Commit ·
05a38aa
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Parent(s): adcf0d5
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (c67de21d5770fa3af0e2c32d100ceb8472a63db5)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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- generated_from_trainer
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datasets:
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- image_folder
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model-index:
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- name: flyswot_test
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results: []
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- generated_from_trainer
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datasets:
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- image_folder
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base_model: facebook/convnext-base-224-22k
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model-index:
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- name: flyswot_test
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results: []
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