Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Spanish
whisper
Generated from Trainer
Instructions to use rjac/whisper-tiny-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rjac/whisper-tiny-spanish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="rjac/whisper-tiny-spanish")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("rjac/whisper-tiny-spanish") model = AutoModelForSpeechSeq2Seq.from_pretrained("rjac/whisper-tiny-spanish", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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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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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the
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## Model description
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language:
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- es
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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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- mozilla-foundation/common_voice_11_0
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model-index:
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- name: Whisper Small Spanish
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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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# Whisper Small Spanish
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This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the mozilla-foundation/common_voice_11_0 es dataset.
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## Model description
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