Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Turkish
whisper
hf-asr-leaderboard
Generated from Trainer
Instructions to use cvnberk/whisper-tiny-tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cvnberk/whisper-tiny-tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cvnberk/whisper-tiny-tr")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("cvnberk/whisper-tiny-tr") model = AutoModelForSpeechSeq2Seq.from_pretrained("cvnberk/whisper-tiny-tr") - Notebooks
- Google Colab
- Kaggle
CK commited on
Upload tokenizer
Browse files- README.md +1 -1
- merges.txt +1 -0
README.md
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language:
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license: apache-2.0
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base_model: openai/whisper-small
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: Whisper Small Tr - CK
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results: []
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language:
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license: apache-2.0
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tags:
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- hf-asr-leaderboard
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_11_0
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base_model: openai/whisper-small
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model-index:
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- name: Whisper Small Tr - CK
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results: []
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merges.txt
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