Instructions to use Jurabek/language_identifications with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use Jurabek/language_identifications with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("Jurabek/language_identifications") - Notebooks
- Google Colab
- Kaggle
Download config.json from Jurabek/language_identifications: direct link, hf CLI and curl.
- Browser
- Download file 196 Bytes
-
https://huggingface.co/Jurabek/language_identifications/resolve/main/config.json
- Command line
-
hf download hf://Jurabek/language_identifications/config.json
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curl -L -o config.json https://huggingface.co/Jurabek/language_identifications/resolve/main/config.json
196 Bytes
| { | |
| "model_type": "language_detection", | |
| "architecture": "NeuralNetwork", | |
| "num_classes": 3, | |
| "hidden_layers": [64, 32], | |
| "activation_function": "ReLU", | |
| "learning_rate": 0.001 | |
| } | |