Instructions to use zeromodels/bert_large_cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/bert_large_cased with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Keras
How to use zeromodels/bert_large_cased with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://zeromodels/bert_large_cased") - Notebooks
- Google Colab
- Kaggle
File size: 586 Bytes
078e484 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"library_name": "kerasformers",
"kerasformers_version": "1.2.1",
"model_module": "kerasformers.models.bert",
"model_class": "BertModel",
"variant": "bert_large_cased",
"weights": "model.weights.h5",
"schema_version": 2,
"weight_dtype": "float32",
"model_type": "bert",
"text_config": {
"vocab_size": 28996,
"embed_dim": 1024,
"num_layers": 24,
"num_heads": 16,
"mlp_dim": 4096,
"max_position_embeddings": 512,
"type_vocab_size": 2,
"hidden_act": "gelu",
"layer_norm_eps": 1e-12,
"pad_token_id": 0
}
} |