Instructions to use h9LtLSb/whisper-small-es with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use h9LtLSb/whisper-small-es with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="h9LtLSb/whisper-small-es")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("h9LtLSb/whisper-small-es") model = AutoModelForSpeechSeq2Seq.from_pretrained("h9LtLSb/whisper-small-es", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ce9db020f4e0f7f7df45ed63139f4458129f02ffdcc6a75245b4eb9ce429697f
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size 966995080
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