Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Sagicc/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sagicc/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Sagicc/whisper-tiny-minds14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Sagicc/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("Sagicc/whisper-tiny-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (01d5bfa8b0fc358305087311716893fe7dbb51a6) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>0baf9dc
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update model card README.md
87fadec -
End of training
551ac03 -
Training in progress, step 500
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initial commit
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