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
| batch_size: 32 | |
| height: 50 | |
| learning_rate: 0.001 | |
| max_text_length: 9 | |
| model_path: Models/02_captcha_to_text/202311191731 | |
| train_epochs: 1000 | |
| train_workers: 20 | |
| vocab: 5P1HgLZWI2Me9QBFK0aN7iOCD_Y648mEAXV3SGJTR | |
| width: 130 | |