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imvladikon
/
wav2vec2-xls-r-300m-hebrew

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Hebrew
wav2vec2
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
Eval Results (legacy)
Model card Files Files and versions
xet
Community
3

Instructions to use imvladikon/wav2vec2-xls-r-300m-hebrew with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use imvladikon/wav2vec2-xls-r-300m-hebrew with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="imvladikon/wav2vec2-xls-r-300m-hebrew")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("imvladikon/wav2vec2-xls-r-300m-hebrew")
    model = AutoModelForCTC.from_pretrained("imvladikon/wav2vec2-xls-r-300m-hebrew", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-xls-r-300m-hebrew
2.52 GB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 98 commits
imvladikon's picture
imvladikon
librarian-bot's picture
librarian-bot
Librarian Bot: Add base_model information to model (#2)
b2e6830 almost 3 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 1000 over 4 years ago
  • README.md
    10.4 kB
    Librarian Bot: Add base_model information to model (#2) almost 3 years ago
  • added_tokens.json
    23 Bytes
    init over 4 years ago
  • all_results.json
    403 Bytes
    End of training over 4 years ago
  • config.json
    2.04 kB
    Update config.json over 4 years ago
  • eval.py
    4.88 kB
    Upload eval.py over 4 years ago
  • model.safetensors
    1.26 GB
    xet
    Adding `safetensors` variant of this model (#1) over 3 years ago
  • preprocessor_config.json
    214 Bytes
    init over 4 years ago
  • pytorch_model.bin
    1.26 GB
    xet
    Model save over 4 years ago
  • run_train.py
    36.4 kB
    init over 4 years ago
  • run_train.sh
    1.21 kB
    init over 4 years ago
  • special_tokens_map.json
    1.27 kB
    Training in progress, step 1000 over 4 years ago
  • tokenizer_config.json
    288 Bytes
    Training in progress, step 1000 over 4 years ago
  • train_results.json
    197 Bytes
    End of training over 4 years ago
  • trainer_state.json
    26.4 kB
    End of training over 4 years ago
  • training_args.bin
    3.06 kB
    xet
    Training in progress, step 1000 over 4 years ago
  • validation_results.json
    227 Bytes
    End of training over 4 years ago
  • vocab.json
    295 Bytes
    init over 4 years ago