Image Classification
Transformers
TensorBoard
Safetensors
beit
Generated from Trainer
Eval Results (legacy)
Instructions to use mateoluksenberg/Seed_Classifier_V2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mateoluksenberg/Seed_Classifier_V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mateoluksenberg/Seed_Classifier_V2") 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_V2") model = AutoModelForImageClassification.from_pretrained("mateoluksenberg/Seed_Classifier_V2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 313ce980c73f45515e2055d34cb8abe18c5412046f5efeacbb7ceb2587d06084
- Size of remote file:
- 343 MB
- SHA256:
- 17993c5c5c8d0db180f3d3e00c62875656c2b9728c073c721d580e5958c41c36
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