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:
- cf9d1fd0c48b6af4e124b99f37533f2c5966d5b7c56bbd5035256ea1efbdbad9
- Size of remote file:
- 687 MB
- SHA256:
- 4f8a27f6a862bad746a576482c81720613cf5e1746739384df0b03b601c6a95b
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