Zero-Shot Classification
Transformers
Safetensors
qwen3_5
feature-extraction
decision-model
classification
system-one
multimodal
audio
vision
video
custom_code
Instructions to use seamon67/D3-Omni-Mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use seamon67/D3-Omni-Mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="seamon67/D3-Omni-Mini", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("seamon67/D3-Omni-Mini", trust_remote_code=True) model = AutoModel.from_pretrained("seamon67/D3-Omni-Mini", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download audio_encoder/preprocessor_config.json from seamon67/D3-Omni-Mini: direct link, hf CLI and curl.
- Browser
- Download file 603 Bytes
-
https://huggingface.co/seamon67/D3-Omni-Mini/resolve/main/audio_encoder/preprocessor_config.json
- Command line
-
hf download hf://seamon67/D3-Omni-Mini/audio_encoder/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/seamon67/D3-Omni-Mini/resolve/main/audio_encoder/preprocessor_config.json
603 Bytes
| { | |
| "dither": 0.0, | |
| "feature_extractor_type": "WhisperFeatureExtractor", | |
| "feature_size": 128, | |
| "hop_length": 160, | |
| "image_mean": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "image_processor_type": "Qwen2VLImageProcessor", | |
| "image_std": [ | |
| 0.5, | |
| 0.5, | |
| 0.5 | |
| ], | |
| "max_pixels": 12845056, | |
| "merge_size": 2, | |
| "min_pixels": 3136, | |
| "n_fft": 400, | |
| "n_samples": 4800000, | |
| "nb_max_frames": 30000, | |
| "padding_side": "right", | |
| "padding_value": 0.0, | |
| "patch_size": 16, | |
| "processor_class": "Qwen3OmniMoeProcessor", | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000, | |
| "temporal_patch_size": 2 | |
| } |