KerasHub How to use thienle1942/my_gemma2_pt with KerasHub:
import keras_hub
# Load CausalLM model (optional: use half precision for inference)
causal_lm = keras_hub.models.CausalLM.from_preset("hf://thienle1942/my_gemma2_pt", dtype="bfloat16")
causal_lm.compile(sampler="greedy") # (optional) specify a sampler
# Generate text
causal_lm.generate("Keras: deep learning for", max_length=64)
import keras_hub
# Create a Backbone model unspecialized for any task
backbone = keras_hub.models.Backbone.from_preset("hf://thienle1942/my_gemma2_pt")
