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KatMarie
/
eu-withLM

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Model card Files Files and versions
xet
Community
1

Instructions to use KatMarie/eu-withLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use KatMarie/eu-withLM with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="KatMarie/eu-withLM")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("KatMarie/eu-withLM")
    model = AutoModelForCTC.from_pretrained("KatMarie/eu-withLM")
  • Notebooks
  • Google Colab
  • Kaggle
eu-withLM
2.52 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
18f25af verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • added_tokens.json
    30 Bytes
    Upload tokenizer over 2 years ago
  • config.json
    2.09 kB
    Training in progress, step 600 over 2 years ago
  • model.safetensors
    1.26 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • preprocessor_config.json
    214 Bytes
    Training in progress, step 600 over 2 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Training in progress, step 600 over 2 years ago
  • special_tokens_map.json
    406 Bytes
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    354 Bytes
    Upload tokenizer over 2 years ago
  • training_args.bin
    4.03 kB
    xet
    Training in progress, step 600 over 2 years ago
  • vocab.json
    332 Bytes
    Upload tokenizer over 2 years ago