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:
- 8937dfd3fc5a38f16c1736dbb65d33848f1e898950422a2c0faea37eb564da75
- Size of remote file:
- 5.18 kB
- SHA256:
- 2779ce56788bb7b439ddf0fea57cc08b7c742d06d0a266548913ed41dba2409a
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