Instructions to use NDSrex/Is-Bird-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDSrex/Is-Bird-Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="NDSrex/Is-Bird-Model") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("NDSrex/Is-Bird-Model") model = AutoModelForImageClassification.from_pretrained("NDSrex/Is-Bird-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from NDSrex/Is-Bird-Model: direct link, hf CLI and curl.
- Browser
- Download file 687 MB
-
https://huggingface.co/NDSrex/Is-Bird-Model/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://NDSrex/Is-Bird-Model@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/NDSrex/Is-Bird-Model/resolve/refs%2Fpr%2F1/optimizer.pt
687 MB
- Xet hash:
- aef5e3e58c9ed72d0afe8fa674df9887e10017547d287e92b05054071bb2df4d
- Size of remote file:
- 687 MB
- SHA256:
- 22666f5905d107b8d5563f4da23b6ba468b2792972fc19057e26c575916ddedd
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