Instructions to use krishnatherokar/captcha-recognition with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use krishnatherokar/captcha-recognition 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://krishnatherokar/captcha-recognition") - Notebooks
- Google Colab
- Kaggle
Download model.weights.h5 from krishnatherokar/captcha-recognition: direct link, hf CLI and curl.
- Browser
- Download file 7.69 MB
-
https://huggingface.co/krishnatherokar/captcha-recognition/resolve/main/model.weights.h5
- Command line
-
hf download hf://krishnatherokar/captcha-recognition/model.weights.h5
-
curl -L -o model.weights.h5 https://huggingface.co/krishnatherokar/captcha-recognition/resolve/main/model.weights.h5
7.69 MB
- Xet hash:
- 9f3fa72178cd679294dee2a1f92de2de8f5e10d3cb54cfc0ecc49917d96817a9
- Size of remote file:
- 7.69 MB
- SHA256:
- f8e9e3cf7ba79dbfda40e84f46b84214c4bf7e63c68dcb27479dc03b4a7447b9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.