Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use beratcmn/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use beratcmn/whisper-tiny-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="beratcmn/whisper-tiny-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("beratcmn/whisper-tiny-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("beratcmn/whisper-tiny-tr") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 100
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
- training_args.bin +1 -1
config.json
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"apply_spec_augment": false,
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"_name_or_path": "beratcmn/whisper-tiny-tr",
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"activation_dropout": 0.0,
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pytorch_model.bin
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training_args.bin
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