Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use sgangireddy/whisper-medium-mls-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sgangireddy/whisper-medium-mls-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="sgangireddy/whisper-medium-mls-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("sgangireddy/whisper-medium-mls-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("sgangireddy/whisper-medium-mls-es") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 18f765a
update model card README.md
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README.md
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---
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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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- multilingual_librispeech
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metrics:
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- wer
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model-index:
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- name:
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: multilingual_librispeech
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type: multilingual_librispeech
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config: spanish
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split: test
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args: spanish
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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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should probably proofread and complete it, then remove this comment. -->
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#
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the multilingual_librispeech dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1479
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- Wer: 8.6429
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---
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license: apache-2.0
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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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- facebook/multilingual_librispeech
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metrics:
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- wer
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model-index:
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- name: Whisper medium Spanish MLS
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: facebook/multilingual_librispeech spanish
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type: facebook/multilingual_librispeech
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config: spanish
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split: test
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args: spanish
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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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should probably proofread and complete it, then remove this comment. -->
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# Whisper medium Spanish MLS
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This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the facebook/multilingual_librispeech spanish dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1479
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- Wer: 8.6429
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