Instructions to use samanehs/gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use samanehs/gpt2 with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://samanehs/gpt2") - Keras
How to use samanehs/gpt2 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://samanehs/gpt2") - Notebooks
- Google Colab
- Kaggle
File size: 318 Bytes
a5a6878 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"module": "keras_nlp.models.gpt2.gpt2_tokenizer",
"class_name": "GPT2Tokenizer",
"config": {
"name": "gpt2_tokenizer",
"trainable": true,
"dtype": "int32",
"sequence_length": null,
"add_prefix_space": false
},
"registered_name": "keras_nlp>GPT2Tokenizer"
} |