Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Instructions to use artyomboyko/whisper-small-fine_tuned-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artyomboyko/whisper-small-fine_tuned-ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="artyomboyko/whisper-small-fine_tuned-ru")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("artyomboyko/whisper-small-fine_tuned-ru") model = AutoModelForSpeechSeq2Seq.from_pretrained("artyomboyko/whisper-small-fine_tuned-ru") - Notebooks
- Google Colab
- Kaggle
Commit ·
7be3f9a
1
Parent(s): f7a8e35
Librarian Bot: Add base_model information to model (#2)
Browse files- Librarian Bot: Add base_model information to model (18d4a0367dea707919ddf16b984a9baefed1a1b4)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: whisper-small-fine_tuned-ru
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results: []
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datasets:
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- mozilla-foundation/common_voice_13_0
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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license: apache-2.0
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tags:
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- generated_from_trainer
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datasets:
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- mozilla-foundation/common_voice_13_0
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metrics:
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- wer
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base_model: openai/whisper-small
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model-index:
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- name: whisper-small-fine_tuned-ru
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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