Instructions to use kerasformers/deberta_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/deberta_large 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/deberta_large") - KerasFormers
How to use kerasformers/deberta_large 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
- Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "kerasformers_version": "1.1.3", | |
| "model_module": "kerasformers.models.deberta", | |
| "model_class": "DebertaModel", | |
| "variant": "deberta_large", | |
| "weights": "model.weights.h5", | |
| "model_type": "deberta", | |
| "vocab_size": 50265, | |
| "embed_dim": 1024, | |
| "num_layers": 24, | |
| "num_heads": 16, | |
| "mlp_dim": 4096, | |
| "max_position_embeddings": 512, | |
| "max_relative_positions": 512, | |
| "pos_att_type": [ | |
| "c2p", | |
| "p2c" | |
| ], | |
| "hidden_act": "gelu", | |
| "layer_norm_eps": 1e-07, | |
| "pad_token_id": 0 | |
| } |