Instructions to use Samrita/FL-Invasive-Bird-Detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samrita/FL-Invasive-Bird-Detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Samrita/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("Samrita/FL-Invasive-Bird-Detector") model = AutoModelForImageClassification.from_pretrained("Samrita/FL-Invasive-Bird-Detector", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 030a1dee15652861570a980d62cc8f1069b6b3b51814ea71b68ddc55d3bc1d0e
- Size of remote file:
- 3.9 kB
- SHA256:
- 56c791ff17892c4b55e120520df419272375caf4fb102b33b32fa60507b85df0
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