Instructions to use slplab/apac_5sents_XLS-R with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/apac_5sents_XLS-R with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slplab/apac_5sents_XLS-R")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("slplab/apac_5sents_XLS-R") model = AutoModelForCTC.from_pretrained("slplab/apac_5sents_XLS-R", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5206ecd3699823494e66ba4e38d3da0abc34b34e18ae235a2fb115f6f15f60f2
- Size of remote file:
- 1.26 GB
- SHA256:
- 0c14cd8834a0b4feb282f80c7c4e1dec62c53c52ce2ce49c198a5b5224fdf146
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