Image Classification
Transformers
ONNX
Safetensors
English
efficientnet
biology
vision
Eval Results (legacy)
Instructions to use ozzyonfire/bird-species-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ozzyonfire/bird-species-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="ozzyonfire/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("ozzyonfire/bird-species-classifier") model = AutoModelForImageClassification.from_pretrained("ozzyonfire/bird-species-classifier") - Notebooks
- Google Colab
- Kaggle
adds train results
Browse files- train_results.json +7 -0
train_results.json
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{
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"epoch": 6.0,
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"train_loss": 0.6971345881057672,
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"train_runtime": 34411.7232,
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"train_samples_per_second": 14.757,
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"train_steps_per_second": 0.922
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}
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