Instructions to use zeromodels/gpt2_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/gpt2_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
- Keras
How to use zeromodels/gpt2_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://zeromodels/gpt2_large") - Notebooks
- Google Colab
- Kaggle
File size: 528 Bytes
c7c9643 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"library_name": "kerasformers",
"kerasformers_version": "1.2.1",
"model_module": "kerasformers.models.gpt2",
"model_class": "GPT2Model",
"variant": "gpt2_large",
"weights": "model.weights.json",
"schema_version": 2,
"weight_dtype": "float32",
"model_type": "gpt2",
"text_config": {
"vocab_size": 50257,
"embed_dim": 1280,
"mlp_dim": 5120,
"num_layers": 36,
"num_heads": 20,
"max_position_embeddings": 1024,
"norm_eps": 1e-05,
"tie_embeddings": true
}
} |