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:
- 797dfe302868d8fbaefec8f36cc7223674d3617bfa85b2f322ad2a347b2f440c
- Size of remote file:
- 687 MB
- SHA256:
- 91a1cce1f212cb54f0bf321120c3527ba46f22a629bfc43c735c6cd88947f5b0
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