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 /Oct05_15-06-02_iros02-pod /events.out.tfevents.1728140764.iros02-pod.125027.0
- Xet hash:
- 3adb6affa8957602762c9352bf7075d26a1a9a66160899d8484bf9b478954162
- Size of remote file:
- 52.3 kB
- SHA256:
- 462b621af8c5fa90785616744eab0ce7d2cbee3041881ed16e0333b91aacc9a8
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