Instructions to use PranomVignesh/Handwritten-Characters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PranomVignesh/Handwritten-Characters with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="PranomVignesh/Handwritten-Characters") 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("PranomVignesh/Handwritten-Characters") model = AutoModelForImageClassification.from_pretrained("PranomVignesh/Handwritten-Characters") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fc64a786bbbbfcf139a5d11edad8fd5c25b4d4179c31f769970c0e25b3bfff8f
- Size of remote file:
- 687 MB
- SHA256:
- 988da3d053e5377b39bb3d8ff5a44e37cb92cf461a3f9c8d6926266973875b87
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