Instructions to use keras/blip2_opt_2.7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasHub
How to use keras/blip2_opt_2.7b with KerasHub:
import keras_hub # Load CausalLM model (optional: use half precision for inference) causal_lm = keras_hub.models.CausalLM.from_preset("hf://keras/blip2_opt_2.7b", 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 Seq2SeqLM model task = keras_hub.models.Seq2SeqLM.from_preset("hf://keras/blip2_opt_2.7b")import keras_hub # Create a Backbone model unspecialized for any task backbone = keras_hub.models.Backbone.from_preset("hf://keras/blip2_opt_2.7b") - Keras
How to use keras/blip2_opt_2.7b 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/blip2_opt_2.7b") - Notebooks
- Google Colab
- Kaggle
File size: 211 Bytes
996df21 | 1 2 3 4 5 6 7 8 9 10 | {
"keras_version": "3.15.0",
"keras_hub_version": "0.30.0.dev0",
"parameter_count": 3744761856,
"date_saved": "2026-07-17@00:43:33",
"tasks": [
"CausalLM",
"Seq2SeqLM"
]
} |