Text Generation
KerasHub
English
text-generation-inference
text-classification
text-conversation
text-to-text-generation
Instructions to use keras/gemma_instruct_7b_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/gemma_instruct_7b_en with KerasHub:
import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/gemma_instruct_7b_en") - Keras
How to use keras/gemma_instruct_7b_en with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://keras/gemma_instruct_7b_en") - Notebooks
- Google Colab
- Kaggle
| { | |
| "keras_version": "3.0.4", | |
| "keras_nlp_version": "0.7.0", | |
| "parameter_count": 8537680896, | |
| "date_saved": "2024-02-13@19:13:09" | |
| } |