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:
- 0c4bcca8e5b4a5d381e936df5c014e5d72d3c86be31390f905abbbd4179dc243
- Size of remote file:
- 10.7 kB
- SHA256:
- bebd3e42b9c53fb61a776907c673a209c2445400dbe0f90db0f29d096acd91cb
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