Instructions to use sameernotes/hindi-ocr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use sameernotes/hindi-ocr 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://sameernotes/hindi-ocr") - Notebooks
- Google Colab
- Kaggle
Download label_encoder.pkl from sameernotes/hindi-ocr: direct link, hf CLI and curl.
- Browser
- Download file 1.92 kB
-
https://huggingface.co/sameernotes/hindi-ocr/resolve/main/label_encoder.pkl
- Command line
-
hf download hf://sameernotes/hindi-ocr/label_encoder.pkl
-
curl -L -o label_encoder.pkl https://huggingface.co/sameernotes/hindi-ocr/resolve/main/label_encoder.pkl
1.92 kB
- Xet hash:
- 12434a1e23eb6403e7817285afda7ed6ec2383bb528015ee7c44f38f74700050
- Size of remote file:
- 1.92 kB
- SHA256:
- efc157e2cf396d358a32e1815c63b9636b963344635ef12e36e0ecb686f0ba7d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.