Instructions to use trouvaille-k/FL-Invasive-Bird-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trouvaille-k/FL-Invasive-Bird-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="trouvaille-k/FL-Invasive-Bird-Detector") 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("trouvaille-k/FL-Invasive-Bird-Detector") model = AutoModelForImageClassification.from_pretrained("trouvaille-k/FL-Invasive-Bird-Detector") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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version https://git-lfs.github.com/spec/v1
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oid sha256:031b0471a64e49d26a8bb7ef3b5c34f543c6a538917002eba0529726acc7d6d1
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size 343239356
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