Instructions to use zeromodels/deepseek_vl_7b_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- KerasFormers
How to use zeromodels/deepseek_vl_7b_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
- 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
File size: 1,108 Bytes
b26f487 | 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 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | {
"library_name": "kerasformers",
"kerasformers_version": "1.2.1",
"model_module": "kerasformers.models.deepseek_vl_hybrid",
"model_class": "DeepseekVLHybridModel",
"variant": "deepseek_vl_7b_base",
"weights": "model.weights.json",
"schema_version": 2,
"weight_dtype": "float16",
"model_type": "deepseek_vl_hybrid",
"text_config": {
"vocab_size": 102400,
"embed_dim": 4096,
"mlp_dim": 11008,
"num_layers": 30,
"num_heads": 32,
"num_kv_heads": 32,
"head_dim": 128,
"norm_eps": 1e-06,
"rope_theta": 10000.0,
"tie_embeddings": false
},
"vision_config": {
"embed_dim": 1024,
"mlp_dim": 4096,
"num_layers": 24,
"num_heads": 16,
"norm_eps": 1e-06,
"image_size": 384,
"patch_size": 16
},
"high_res_config": {
"embed_dim": 768,
"mlp_dim": 3072,
"num_layers": 12,
"num_heads": 12,
"image_size": 1024,
"patch_size": 16,
"output_channels": 256,
"window_size": 14,
"global_attn_indexes": [
2,
5,
8,
11
],
"norm_eps": 1e-06
},
"image_token_id": 100015
} |