Instructions to use dap305/whisper-smallen-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dap305/whisper-smallen-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="dap305/whisper-smallen-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("dap305/whisper-smallen-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("dap305/whisper-smallen-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
Browse files
README.md
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---
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license: mit
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datasets:
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- mozilla-foundation/common_voice_11_0
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language:
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- es
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metrics:
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- wer
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library_name: transformers
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pipeline_tag: automatic-speech-recognition
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tags:
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- MIARFID
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- UPV
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- RAH
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---
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