Feature Extraction
Transformers
PyTorch
Safetensors
hubert
speech processing
self-supervision
african languages
🇪🇺 Region: EU
Instructions to use Orange/SSA-HuBERT-base-5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Orange/SSA-HuBERT-base-5k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Orange/SSA-HuBERT-base-5k")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Orange/SSA-HuBERT-base-5k") model = AutoModel.from_pretrained("Orange/SSA-HuBERT-base-5k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 184 Bytes
69ab0ce | 1 2 3 4 5 6 7 8 9 10 11 | {
"do_normalize": true,
"model_type": "hubert",
"feature_size": 1,
"padding_side": "right",
"padding_value": 0,
"return_attention_mask": false,
"sampling_rate": 16000
}
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