Instructions to use Samrita/Bird-Or-Not with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samrita/Bird-Or-Not with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Samrita/Bird-Or-Not") 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/Bird-Or-Not") model = AutoModelForImageClassification.from_pretrained("Samrita/Bird-Or-Not", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e008d12f541b864ec0577ba2d8b1a34cedb54d7eaebacc21fa011583c752c998
- Size of remote file:
- 343 MB
- SHA256:
- 5c4205743262790b190b68005296aaf0a99a4716bf5e6db0367bca997872f80c
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