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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d8357fcf9a45ecd46315197c9e8a967eb5cd757e8e89e07b9c36b96eaed0135
- Size of remote file:
- 343 MB
- SHA256:
- d0848e1e2f4b4db866484e1c5bfb67b51b1d96cff0c86e220e8f8b7fdd1e0178
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.