Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Bulgarian
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use shripadbhat/whisper-medium-bg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shripadbhat/whisper-medium-bg with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="shripadbhat/whisper-medium-bg")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("shripadbhat/whisper-medium-bg") model = AutoModelForSpeechSeq2Seq.from_pretrained("shripadbhat/whisper-medium-bg", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
bcd2295
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Parent(s): 63b88a2
Update README.md
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README.md
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tags:
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- whisper-event
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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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tags:
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- whisper-event
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- generated_from_trainer
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- hf-asr-leaderboard
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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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