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abnerh
/
phonoq-2.0-multilingual

Audio Classification
Transformers
Safetensors
phonoq
feature-extraction
audio
speech
phonology
phonological-features
wav2vec2
multilingual
custom_code
Model card Files Files and versions
xet
Community

Instructions to use abnerh/phonoq-2.0-multilingual with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abnerh/phonoq-2.0-multilingual with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("audio-classification", model="abnerh/phonoq-2.0-multilingual", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("abnerh/phonoq-2.0-multilingual", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
phonoq-2.0-multilingual
2.83 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
abnerh's picture
abnerh
Update README to include Citation
5aead80 verified 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • README.md
    3.78 kB
    Update README to include Citation 17 days ago
  • best.ckpt
    1.52 GB
    xet
    Upload folder using huggingface_hub 2 months ago
  • config.json
    883 Bytes
    Upload folder using huggingface_hub 2 months ago
  • configuration_phonoq.py
    1.61 kB
    Upload folder using huggingface_hub 2 months ago
  • hparams.yaml
    357 Bytes
    Upload hparams.yaml with huggingface_hub 7 months ago
  • model.safetensors
    1.31 GB
    xet
    Upload folder using huggingface_hub 2 months ago
  • modeling_phonoq.py
    16.2 kB
    Upload folder using huggingface_hub 2 months ago
  • preprocessor_config.json
    212 Bytes
    Upload folder using huggingface_hub 2 months ago
  • wav2vec_phonoq_finetune_conf.py
    29.8 kB
    Upload folder using huggingface_hub 2 months ago