Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use DavidFM43/whisper-tiny-mind14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidFM43/whisper-tiny-mind14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DavidFM43/whisper-tiny-mind14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("DavidFM43/whisper-tiny-mind14") model = AutoModelForSpeechSeq2Seq.from_pretrained("DavidFM43/whisper-tiny-mind14") - 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:e12070847842b46c19589f481fc6b7d58840211d1c91740d0a440e535cf785b2
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size 151061672
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