Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use jason1i/whisper-tiny-minds14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jason1i/whisper-tiny-minds14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="jason1i/whisper-tiny-minds14")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("jason1i/whisper-tiny-minds14") model = AutoModelForSpeechSeq2Seq.from_pretrained("jason1i/whisper-tiny-minds14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
61f88e6 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:06796f5847ba0c8eaf33934d3f9135b483b2836d795c9d0468d0aeaa5ef57176
size 151098921
|