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:
- 38edc65330886414a0ee793a5e128dc4f084f6cec37dad82e9d66b698859bd4d
- Size of remote file:
- 343 MB
- SHA256:
- 88322a18ddb4e834751dd9391746ef089ae85780ac64b9480aa88b0688bbf80b
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