Feature Extraction
Transformers
Safetensors
Chinese
English
tianmu_emb_uni_adapter_prototype
multimodal
embedding
retrieval
audio
video
image
text
visdoc
qwen3-vl
mmeb-v3
Instructions to use TianmuLab/Tianmu-Emb-Uni with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TianmuLab/Tianmu-Emb-Uni with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="TianmuLab/Tianmu-Emb-Uni")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TianmuLab/Tianmu-Emb-Uni", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "tianmu_emb_uni_adapter_prototype", | |
| "architectures": [ | |
| "OmniEmbedModel" | |
| ], | |
| "model_name": "Tianmu-Emb-Uni-8B-adapter-prototype", | |
| "training_stage": "stage1b_adapter_proto_retrieval", | |
| "embedding_dimension": 3584, | |
| "base_vision_language_model": "Qwen3-VL-Embedding-8B", | |
| "base_audio_model": "Qwen2.5-Omni-7B", | |
| "qwen3_vl_frozen": true, | |
| "audio_tower_trainable_last_n_layers": 8, | |
| "weight_file": "model.safetensors", | |
| "legacy_weight_file": "weights/final_audio_weights.pt", | |
| "contains_full_base_model_weights": false, | |
| "auto_model_from_pretrained_supported": false, | |
| "contains_trained_modules": [ | |
| "audio_encoder", | |
| "audio_connector", | |
| "projection", | |
| "adapter", | |
| "prototype" | |
| ], | |
| "code_entrypoint": "tianmu_model/modeling.py", | |
| "training_entrypoint": null | |
| } | |