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Tiberiw
/
merged_model

Automatic Speech Recognition
Transformers
Safetensors
English
whisper
wft
audio
speech
Generated from Trainer
Model card Files Files and versions
xet
Community

Instructions to use Tiberiw/merged_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Tiberiw/merged_model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Tiberiw/merged_model")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Tiberiw/merged_model")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Tiberiw/merged_model")
  • Notebooks
  • Google Colab
  • Kaggle
merged_model
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  • 1 contributor
History: 5 commits
Tiberiw's picture
Tiberiw
Upload WhisperForConditionalGeneration
1e826a1 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.4 kB
    Upload README.md with huggingface_hub about 1 year ago
  • added_tokens.json
    34.6 kB
    Upload processor about 1 year ago
  • config.json
    1.23 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • generation_config.json
    3.04 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • merges.txt
    494 kB
    Upload processor about 1 year ago
  • model.safetensors
    3.09 GB
    xet
    Upload WhisperForConditionalGeneration about 1 year ago
  • normalizer.json
    52.7 kB
    Upload processor about 1 year ago
  • preprocessor_config.json
    357 Bytes
    Upload processor about 1 year ago
  • special_tokens_map.json
    2.19 kB
    Upload processor about 1 year ago
  • tokenizer_config.json
    283 kB
    Upload processor about 1 year ago
  • vocab.json
    1.04 MB
    Upload processor about 1 year ago