Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
whisper-event
Generated from Trainer
Instructions to use Ari/whisper-small-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ari/whisper-small-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Ari/whisper-small-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Ari/whisper-small-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("Ari/whisper-small-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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by parambharat - opened
README.md
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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: whisper-small-es - Ari
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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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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: whisper-small-es - Ari
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results:
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- task:
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type: automatic-speech-recognition
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name: Automatic Speech Recognition
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dataset:
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name: mozilla-foundation/common_voice_11_0
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type: mozilla-foundation/common_voice_11_0
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config: es
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split: validation
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metrics:
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- type: wer
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value: 8.6904
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name: WER
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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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