Instructions to use zeromodels/deepseek_vl_1.3b_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/deepseek_vl_1.3b_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://zeromodels/deepseek_vl_1.3b_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 75d85aea0d4d110070585d3e77b7942eca7621f01a82d429cc6b6d5fd2aec669
- Size of remote file:
- 3.51 GB
- SHA256:
- f3f7925a737c96d047be3f29e2dd5ba5344b9f6cc7688e232e312cc4b796d101
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