Automatic Speech Recognition
Transformers
PyTorch
Spanish
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use danielizham/whisper-small-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielizham/whisper-small-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="danielizham/whisper-small-es")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("danielizham/whisper-small-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("danielizham/whisper-small-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:6014d29e7644071ac5bf5b98335d69df13620cee292df5a6d1a1913e3a463527
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size 966995080
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