Instructions to use artificialguybr/whisper-small-pt-cv13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artificialguybr/whisper-small-pt-cv13 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="artificialguybr/whisper-small-pt-cv13")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("artificialguybr/whisper-small-pt-cv13") model = AutoModelForSpeechSeq2Seq.from_pretrained("artificialguybr/whisper-small-pt-cv13") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:aa580fbb49c4c052404dcea57bdb6fb0fad9b073e1612a7854a766a878ee9a68
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size 966995080
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