Instructions to use kerasformers/deepseek_vl_1.3b_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use kerasformers/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://kerasformers/deepseek_vl_1.3b_base") - KerasFormers
How to use kerasformers/deepseek_vl_1.3b_base with KerasFormers:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 453 Bytes
a54309f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | {
"library_name": "kerasformers",
"kerasformers_version": "1.1.3",
"preprocessor_module": "kerasformers.models.deepseek_vl",
"preprocessor_class": "DeepseekVLImageProcessor",
"variant": "deepseek_vl_1.3b_base",
"size": 384,
"min_size": 14,
"background_color": [
127,
127,
127
],
"image_mean": [
0.5,
0.5,
0.5
],
"image_std": [
0.5,
0.5,
0.5
],
"data_format": null
} |