Image-to-Text
Transformers
Safetensors
LiteRT
LiteRT
Arabic
English
computer-vision
ocr
object-detection
image-classification
egyptian-hieroglyphs
gardiner-codes
yolo26
trocr
mobilenetv3
flutter
offline-ai
Instructions to use Bin-Amer/hieroglyph-ocr-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bin-Amer/hieroglyph-ocr-models with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("image-to-text", model="Bin-Amer/hieroglyph-ocr-models")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bin-Amer/hieroglyph-ocr-models", device_map="auto") - LiteRT
How to use Bin-Amer/hieroglyph-ocr-models with LiteRT:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Ctrl+K