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:
- 9c5add053e672d1803a3dca00db21b9bb58c7225456ac11e2ef5686f508fe213
- Size of remote file:
- 343 MB
- SHA256:
- f245fdf60dcda05f6d43b8d978c2a3444607fd13a6776a617a62f6919ab1afc7
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