Instructions to use lol-cod/captchasolving with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use lol-cod/captchasolving with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://lol-cod/captchasolving") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4ffd7dcb9f161c7f2dc910d5ea2d55c3ce1cbe3608c817af672d49eb846f667d
- Size of remote file:
- 1.91 MB
- SHA256:
- 834cb2567c68097a4fbc4f8007b708990cabc3f8b6491efa60e1e25fc0d085c1
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