Audio Classification
Transformers
Safetensors
mert_model
feature-extraction
audio
music
Merge
custom_code
Instructions to use ntua-slp/CultureMERT-TA-95M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ntua-slp/CultureMERT-TA-95M with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="ntua-slp/CultureMERT-TA-95M", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ntua-slp/CultureMERT-TA-95M", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": false, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 24000 | |
| } |