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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://krishnatherokar/captcha-recognition") - Notebooks
- Google Colab
- Kaggle
Save model using Keras.
Browse files- metadata.json +1 -1
- model.weights.h5 +1 -1
metadata.json
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{"keras_version": "3.10.0", "date_saved": "2026-02-12@
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{"keras_version": "3.10.0", "date_saved": "2026-02-12@13:58:38"}
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model.weights.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 7690504
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version https://git-lfs.github.com/spec/v1
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oid sha256:f8e9e3cf7ba79dbfda40e84f46b84214c4bf7e63c68dcb27479dc03b4a7447b9
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size 7690504
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