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
fs-w-xavier-base-en / runs /Oct02_08-21-12_iros02-pod /events.out.tfevents.1727857274.iros02-pod.94864.0
- Xet hash:
- 2378d4a99acbbaec95d15b5a9fa041b056f10b1b8e5ae25166a4790e63688ac6
- Size of remote file:
- 5.96 kB
- SHA256:
- 1bf231f0c16db701f5bee9d8b4cb7fc72069d39855b985d8eec9fddf0dd4f051
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