Instructions to use squirelmail/model-BotDetect-CAPTCHA-Generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use squirelmail/model-BotDetect-CAPTCHA-Generator with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://squirelmail/model-BotDetect-CAPTCHA-Generator") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 003f4ebae3f85428647c6e2c0f8e1dc73e823e482cf01fabd64ba2519dc8937b
- Size of remote file:
- 28.4 MB
- SHA256:
- b657976fc74ac9ab902a002ad740846f4db4beed9960be358bf4e69f5df8c953
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.