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")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("PranomVignesh/Handwritten-Characters") model = AutoModelForImageClassification.from_pretrained("PranomVignesh/Handwritten-Characters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (0b294948927604d71ef4857f82b1de779a4f61a7) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f8d1560 -
Upload folder using huggingface_hub (#1)
- Upload folder using huggingface_hub (de4e8223f0296fecc57377dbf2f08adcdb2d89c7)ccb6af0 -
initial commit
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