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codingninja
/
w2v-pa-v2.11

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use codingninja/w2v-pa-v2.11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use codingninja/w2v-pa-v2.11 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="codingninja/w2v-pa-v2.11")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("codingninja/w2v-pa-v2.11")
    model = AutoModelForCTC.from_pretrained("codingninja/w2v-pa-v2.11")
  • Notebooks
  • Google Colab
  • Kaggle

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  • checkpoint-12000
    Training in progress, step 12000, checkpoint about 2 years ago
  • checkpoint-6000
    Training in progress, step 6000, checkpoint about 2 years ago
  • runs
    Training in progress, step 12000 about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload Wav2Vec2BertForCTC about 2 years ago
  • added_tokens.json
    30 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    1.93 kB
    Upload Wav2Vec2BertForCTC about 2 years ago
  • model.safetensors
    2.46 GB
    xet
    Upload Wav2Vec2BertForCTC about 2 years ago
  • preprocessor_config.json
    275 Bytes
    Training in progress, step 6000 about 2 years ago
  • special_tokens_map.json
    548 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.1 kB
    Upload processor about 2 years ago
  • training_args.bin
    5.05 kB
    xet
    Training in progress, step 6000 about 2 years ago
  • vocab.json
    866 Bytes
    Upload tokenizer about 2 years ago