Instructions to use naleraphael/rasr_base_zhtw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use naleraphael/rasr_base_zhtw with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="naleraphael/rasr_base_zhtw")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("naleraphael/rasr_base_zhtw") model = AutoModelForCTC.from_pretrained("naleraphael/rasr_base_zhtw", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffb2283b1f2378b622b47c4477edeee50f75213d79d602f9e7fc14009f7ce20a
- Size of remote file:
- 1.27 GB
- SHA256:
- 88b176f57552ec96e597aba50551da55604b80f1a0fd5bbc54f03565bb9239af
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