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ceyda
/
wav2vec2-base-760-turkish

Automatic Speech Recognition
Transformers
PyTorch
Safetensors
Turkish
wav2vec2
audio
speech
xlsr-fine-tuning-week
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use ceyda/wav2vec2-base-760-turkish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ceyda/wav2vec2-base-760-turkish with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ceyda/wav2vec2-base-760-turkish")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ceyda/wav2vec2-base-760-turkish")
    model = AutoModelForCTC.from_pretrained("ceyda/wav2vec2-base-760-turkish")
  • Notebooks
  • Google Colab
  • Kaggle
wav2vec2-base-760-turkish
755 MB
Ctrl+K
Ctrl+K
  • 4 contributors
History: 9 commits
ceyda's picture
ceyda
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
b16ea51 about 3 years ago
  • .gitattributes
    790 Bytes
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • README.md
    4.1 kB
    fix attention flag about 5 years ago
  • config.json
    1.23 kB
    fairseq tuned about 5 years ago
  • model.safetensors
    378 MB
    xet
    Adding `safetensors` variant of this model (#1) about 3 years ago
  • preprocessor_config.json
    156 Bytes
    fix attention flag about 5 years ago
  • pytorch_model.bin
    378 MB
    xet
    fix attention flag about 5 years ago
  • special_tokens_map.json
    85 Bytes
    fairseq tuned about 5 years ago
  • tokenizer_config.json
    138 Bytes
    fix attention flag about 5 years ago
  • vocab.json
    362 Bytes
    fix attention flag about 5 years ago