Instructions to use hiwden00/fs-w-xavier-base-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hiwden00/fs-w-xavier-base-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hiwden00/fs-w-xavier-base-en")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("hiwden00/fs-w-xavier-base-en") model = AutoModelForSpeechSeq2Seq.from_pretrained("hiwden00/fs-w-xavier-base-en") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
a4a9c23 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:1bf231f0c16db701f5bee9d8b4cb7fc72069d39855b985d8eec9fddf0dd4f051
size 5956
|