Instructions to use inviolus/InviolusOCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use inviolus/InviolusOCR with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://inviolus/InviolusOCR") - Notebooks
- Google Colab
- Kaggle
Download inviolusocr_tiny_int8.tflite from inviolus/InviolusOCR: direct link, hf CLI and curl.
- Browser
- Download file 171 kB
-
https://huggingface.co/inviolus/InviolusOCR/resolve/main/inviolusocr_tiny_int8.tflite
- Command line
-
hf download hf://inviolus/InviolusOCR/inviolusocr_tiny_int8.tflite
-
curl -L -o inviolusocr_tiny_int8.tflite https://huggingface.co/inviolus/InviolusOCR/resolve/main/inviolusocr_tiny_int8.tflite
171 kB
- Xet hash:
- c25ac889427f5b921ead0a36ad19cbf409c3cd21aaf98707d063c280e1328f28
- Size of remote file:
- 171 kB
- SHA256:
- 49a1cdf9560fd4cda96f3bf23de9d6d223d192f9ea586a1a1e52379609c4061f
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