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_08-22-33_iros02-pod /events.out.tfevents.1727857355.iros02-pod.95066.0
- Xet hash:
- ac2441bd04b4c8bf3061acb7e83382dac9461269d7ff237040345ac4b59fb256
- Size of remote file:
- 52.3 kB
- SHA256:
- a30def1ff68f5db2a8e6f67423f24eca031e1567b945e700ef679da5e7aee86e
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