Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use bochen0909/whisper-tiny-mind14-en-us with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bochen0909/whisper-tiny-mind14-en-us with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bochen0909/whisper-tiny-mind14-en-us")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bochen0909/whisper-tiny-mind14-en-us") model = AutoModelForSpeechSeq2Seq.from_pretrained("bochen0909/whisper-tiny-mind14-en-us") - 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 sha256:5bd106b21209d63e20306c06f269d1dd48c8a21b749ab004821ef26280644b0e
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size 966995136
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