Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use Daniel981215/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Daniel981215/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Daniel981215/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Daniel981215/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("Daniel981215/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a4a9051 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:98d121e94f556643eeef63b7b5c1f65ba80c690a3e3f34f39feee142b0b3b0a7
size 4856
|