Instructions to use LabradorTransformer/Labrador with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use LabradorTransformer/Labrador with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy) # See https://github.com/keras-team/tf-keras for more details. from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("LabradorTransformer/Labrador") - Notebooks
- Google Colab
- Kaggle
File size: 401 Bytes
9cb83b9 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"mask_token": 530,
"null_token": 531,
"pad_token": 0,
"vocab_size": 529,
"embedding_dim": 1024,
"transformer_activation": "relu",
"transformer_heads": 4,
"transformer_blocks": 10,
"transformer_feedforward_dim": 1024,
"continuous_head_activation": "sigmoid",
"include_head": "True",
"dropout_rate": 0.1
} |