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
File size: 214 Bytes
f817eec | 1 2 3 4 5 6 7 8 9 10 | 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
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