Audio Classification
Transformers
Safetensors
audioseg
feature-extraction
audio
topic-segmentation
whisper
custom_code
Instructions to use retkowski/audioseg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use retkowski/audioseg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="retkowski/audioseg", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("retkowski/audioseg", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "AudioSegModel" | |
| ], | |
| "auto_map": { | |
| "AutoConfig": "configuration_audioseg.AudioSegConfig", | |
| "AutoModel": "modeling_audioseg.AudioSegModel" | |
| }, | |
| "chunk_size_sec": 6.0, | |
| "dtype": "float32", | |
| "emb_dim": 384, | |
| "encoder_chunk_size_sec": 30.0, | |
| "encoder_dim": 1280, | |
| "encoder_frames_per_chunk": 1500, | |
| "max_frames_per_segment": 512, | |
| "model_type": "audioseg", | |
| "roformer_dim_feedforward": 2048, | |
| "roformer_nhead": 8, | |
| "roformer_num_layers": 12, | |
| "sample_rate": 16000, | |
| "segment_transformer_ff_mult": 4, | |
| "segment_transformer_heads": 4, | |
| "segment_transformer_num_layers": 3, | |
| "threshold": 0.5, | |
| "transformers_version": "4.57.0.dev0", | |
| "whisper_model": "openai/whisper-large-v3" | |
| } | |