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nrlt
/
whisper-mn-small-full2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
PEFT
Mongolian
whisper
speech
mongolian
lora
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use nrlt/whisper-mn-small-full2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nrlt/whisper-mn-small-full2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nrlt/whisper-mn-small-full2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("nrlt/whisper-mn-small-full2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("nrlt/whisper-mn-small-full2")
  • PEFT

    How to use nrlt/whisper-mn-small-full2 with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
whisper-mn-small-full2
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 16 commits
nrlt's picture
nrlt
Update README.md
6d38c95 verified 13 days ago
  • checkpoint2000
    Upload folder using huggingface_hub 13 days ago
  • runs
    Upload folder using huggingface_hub 13 days ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    2.06 kB
    Update README.md 13 days ago
  • config.json
    1.3 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • generation_config.json
    3.84 kB
    Upload WhisperForConditionalGeneration about 1 month ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration about 1 month ago
  • processor_config.json
    409 Bytes
    Upload processor about 1 month ago
  • tokenizer.json
    3.93 MB
    Upload processor about 1 month ago
  • tokenizer_config.json
    2.08 kB
    Upload processor about 1 month ago