Instructions to use zeromodels/deepseek_vl_7b_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/deepseek_vl_7b_base with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/deepseek_vl_7b_base") - Keras
How to use zeromodels/deepseek_vl_7b_base with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/deepseek_vl_7b_base") - Notebooks
- Google Colab
- Kaggle
Migrate to zeromodels (rename kf_*.json -> zm_*.json, fix refs in config + README, ensure tag + badge)
969893a verified Download zm_preprocessor.json from zeromodels/deepseek_vl_7b_base: direct link, hf CLI and curl.
- Browser
- Download file 679 Bytes
-
https://huggingface.co/zeromodels/deepseek_vl_7b_base/resolve/main/zm_preprocessor.json
- Command line
-
hf download hf://zeromodels/deepseek_vl_7b_base/zm_preprocessor.json
-
curl -L -o zm_preprocessor.json https://huggingface.co/zeromodels/deepseek_vl_7b_base/resolve/main/zm_preprocessor.json
679 Bytes
| { | |
| "library_name": "zeromodels", | |
| "zeromodels_version": "1.1.3", | |
| "preprocessor_module": "zeromodels.models.deepseek_vl_hybrid", | |
| "preprocessor_class": "DeepseekVLHybridImageProcessor", | |
| "variant": "deepseek_vl_7b_base", | |
| "size": 384, | |
| "high_res_size": 1024, | |
| "min_size": 14, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "high_res_image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "high_res_image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "background_color": [ | |
| 127, | |
| 127, | |
| 127 | |
| ], | |
| "high_res_background_color": [ | |
| 122, | |
| 116, | |
| 104 | |
| ], | |
| "data_format": null | |
| } |