Instructions to use hr16/PhoWhisper-base-flax with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hr16/PhoWhisper-base-flax with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hr16/PhoWhisper-base-flax")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hr16/PhoWhisper-base-flax") model = AutoModelForSpeechSeq2Seq.from_pretrained("hr16/PhoWhisper-base-flax", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
ffb2eed | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:2fe176fde811d6c86a44976be949a61a42139411d7822aa51dcd47106bef9483
size 290384497
|