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
| { | |
| "epoch": 18.0, | |
| "total_flos": 1.6740517517918208e+16, | |
| "train_loss": 0.32068005369769204, | |
| "train_runtime": 242.8786, | |
| "train_samples_per_second": 0.889, | |
| "train_steps_per_second": 0.074 | |
| } |