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
| { | |
| "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 | |
| } |