Instructions to use kerasformers/gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use kerasformers/gpt 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/gpt 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/gpt") - Notebooks
- Google Colab
- Kaggle
| { | |
| "library_name": "kerasformers", | |
| "model_module": "kerasformers.models.gpt", | |
| "model_class": "GptModel", | |
| "variant": "gpt", | |
| "weights": "model.weights.h5", | |
| "model_type": "openai-gpt", | |
| "vocab_size": 40478, | |
| "embed_dim": 768, | |
| "mlp_dim": 3072, | |
| "num_layers": 12, | |
| "num_heads": 12, | |
| "max_position_embeddings": 512, | |
| "norm_eps": 1e-05, | |
| "tie_embeddings": true | |
| } |