Instructions to use bh4/whisper-ben with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bh4/whisper-ben with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bh4/whisper-ben")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("bh4/whisper-ben") model = AutoModelForSpeechSeq2Seq.from_pretrained("bh4/whisper-ben", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
774c531 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:0332cce835dad802796d7aee3c215688cada43f26ef43e7d80719f4036f8e9fa
size 4795
|