Instructions to use kerasformers/roberta_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/roberta_base 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 kerasformers/roberta_base with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://kerasformers/roberta_base") - Notebooks
- Google Colab
- Kaggle
File size: 491 Bytes
76e4c5e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"library_name": "kerasformers",
"kerasformers_version": "1.1.3",
"model_module": "kerasformers.models.roberta",
"model_class": "RobertaModel",
"variant": "roberta_base",
"weights": "model.weights.h5",
"model_type": "roberta",
"vocab_size": 50265,
"embed_dim": 768,
"num_layers": 12,
"num_heads": 12,
"mlp_dim": 3072,
"max_position_embeddings": 514,
"type_vocab_size": 1,
"hidden_act": "gelu",
"layer_norm_eps": 1e-05,
"pad_token_id": 1
} |