Instructions to use HalogenFlo/vit-emnist-byclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HalogenFlo/vit-emnist-byclass with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="HalogenFlo/vit-emnist-byclass") 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("HalogenFlo/vit-emnist-byclass") model = AutoModelForImageClassification.from_pretrained("HalogenFlo/vit-emnist-byclass", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e597762be04414a397ba9edd160d04d9d83595d22a37cb66887fc3c1696668b7
- Size of remote file:
- 5.84 kB
- SHA256:
- ab8ea1334975d380882a7885d0461f94d0a7941c2024001eb9cee3467b36170c
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