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DBGad
/
Meezan-ASR

Automatic Speech Recognition
Transformers
Safetensors
PyTorch
English
whisper
speech
audio
fine-tuning
huggingface
deep-learning
asr
Model card Files Files and versions
xet
Community

Instructions to use DBGad/Meezan-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use DBGad/Meezan-ASR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="DBGad/Meezan-ASR")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("DBGad/Meezan-ASR")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("DBGad/Meezan-ASR")
  • Notebooks
  • Google Colab
  • Kaggle
Meezan-ASR
1.53 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
DBGad's picture
DBGad
Update README.md
064bea0 verified 3 days ago
  • .gitattributes
    1.52 kB
    initial commit 5 months ago
  • README.md
    4.36 kB
    Update README.md 3 days ago
  • config.json
    1.3 kB
    Upload WhisperForConditionalGeneration 5 months ago
  • generation_config.json
    3.75 kB
    Upload WhisperForConditionalGeneration 5 months ago
  • model.safetensors
    1.53 GB
    xet
    Upload WhisperForConditionalGeneration 5 months ago
  • processor_config.json
    409 Bytes
    Upload processor 5 months ago
  • tokenizer.json
    3.93 MB
    Upload processor 5 months ago
  • tokenizer_config.json
    2.09 kB
    Upload processor 5 months ago