Image Classification
Transformers
ONNX
Safetensors
English
efficientnet
biology
vision
Eval Results (legacy)
Instructions to use chriamue/bird-species-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chriamue/bird-species-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chriamue/bird-species-classifier") 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("chriamue/bird-species-classifier") model = AutoModelForImageClassification.from_pretrained("chriamue/bird-species-classifier") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b84ffdbfa996aa4a4feb5a934f38f038075ac064d31db3fe4e6e6c5e0241237c
- Size of remote file:
- 4.6 kB
- SHA256:
- 817083c686e9f03595b3ef0af83f3f8fdd1a6b49d286980b33af2e23a0e330d8
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