Instructions to use KerasFormers/qwen3.5-2b-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use KerasFormers/qwen3.5-2b-base with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://KerasFormers/qwen3.5-2b-base") - Notebooks
- Google Colab
- Kaggle
qwen3.5-2b-base (Keras 3, bf16)
Pure-Keras 3 conversion of Qwen/Qwen3.5-2B-Base for kerasformers. Apache 2.0.
This repo holds the converted model weights and tokenizer.json.
from kerasformers.models.qwen3_5 import Qwen3_5Generate, Qwen3_5Tokenizer
model = Qwen3_5Generate.from_weights("qwen3.5-2b-base")
tokenizer = Qwen3_5Tokenizer.from_weights("qwen3.5-2b-base")
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Base model
Qwen/Qwen3.5-2B-Base