Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use 1aurent/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 1aurent/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="1aurent/whisper-tiny-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("1aurent/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("1aurent/whisper-tiny-minds14") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f192aec95ef65969be27a4f4d4592941e2cb74788dd7690fc3404edbadb266bd
- Size of remote file:
- 4.16 kB
- SHA256:
- 6017fd56c6e844d74bf2c506e39697ec6e77fb9e73796366b9971842c9b0c486
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