Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
whisper-event
Generated from Trainer
hf-asr-leaderboard
Eval Results (legacy)
Instructions to use MMars/whisper-small-ar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MMars/whisper-small-ar with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MMars/whisper-small-ar")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("MMars/whisper-small-ar") model = AutoModelForSpeechSeq2Seq.from_pretrained("MMars/whisper-small-ar") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
e79d273 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3151cbaa1e8c87f6519ec6e91dc1b97989a7671e4e34a50a72f498793100e474
size 3643
|