Instructions to use zeromodels/deepseek_vl_7b_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use zeromodels/deepseek_vl_7b_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_7b_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be348d712ed888296510fd9e034081fc16d519d453bc7e2358dc450876bd7d9b
- Size of remote file:
- 3.1 GB
- SHA256:
- 603ae3d742316d245648e8c0377031d5fee41112b04b2ffaee7f970ccad725d1
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