Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use mateoluksenberg/Seed_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateoluksenberg/Seed_Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mateoluksenberg/Seed_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("mateoluksenberg/Seed_Classifier") model = AutoModelForImageClassification.from_pretrained("mateoluksenberg/Seed_Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7668b6338d01b5f83be672a8986fea69d2869c7bbf2a7bdc3480bc39dc5768ea
- Size of remote file:
- 5.18 kB
- SHA256:
- 31f782b7a09bc6916b1b62d31e8c341cec87b56379ae87f99cca254529e3c73d
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