Image Classification
Transformers
TensorBoard
Safetensors
mobilevit
Generated from Trainer
Eval Results (legacy)
Instructions to use Binou/vit-base-plankton with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Binou/vit-base-plankton with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Binou/vit-base-plankton") 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("Binou/vit-base-plankton") model = AutoModelForImageClassification.from_pretrained("Binou/vit-base-plankton", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 879611e28f4cb08af5c2d540089592609e3cc42e58fddf384689f7b3cf3c1122
- Size of remote file:
- 4.54 kB
- SHA256:
- 68485bc6b00c179249405697fb98f89cfdd94f2bc8f75e9e6a75dbd190524856
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