Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Portuguese
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use thiagoms7/whisper-tiny-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thiagoms7/whisper-tiny-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="thiagoms7/whisper-tiny-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("thiagoms7/whisper-tiny-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("thiagoms7/whisper-tiny-en") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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 sha256:54c3f45965794df3b6598894efb790877886f872c47db5b4f9eeb712dbccc5a4
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size 151061728
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