Audio Classification
Transformers
Safetensors
English
hubert
Generated from Trainer
Eval Results (legacy)
Instructions to use Hhsjsnns/DistilHuBERT-GenreCLS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hhsjsnns/DistilHuBERT-GenreCLS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="Hhsjsnns/DistilHuBERT-GenreCLS")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("Hhsjsnns/DistilHuBERT-GenreCLS") model = AutoModelForAudioClassification.from_pretrained("Hhsjsnns/DistilHuBERT-GenreCLS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from Hhsjsnns/DistilHuBERT-GenreCLS: direct link, hf CLI and curl.
- Browser
- Download file 212 Bytes
-
https://huggingface.co/Hhsjsnns/DistilHuBERT-GenreCLS/resolve/main/preprocessor_config.json
- Command line
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hf download hf://Hhsjsnns/DistilHuBERT-GenreCLS/preprocessor_config.json
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curl -L -o preprocessor_config.json https://huggingface.co/Hhsjsnns/DistilHuBERT-GenreCLS/resolve/main/preprocessor_config.json
212 Bytes
| { | |
| "do_normalize": true, | |
| "feature_extractor_type": "Wav2Vec2FeatureExtractor", | |
| "feature_size": 1, | |
| "padding_side": "right", | |
| "padding_value": 0, | |
| "return_attention_mask": true, | |
| "sampling_rate": 16000 | |
| } | |