Instructions to use slplab/apac_5sents_XLS-R_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/apac_5sents_XLS-R_2 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_2")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("slplab/apac_5sents_XLS-R_2") model = AutoModelForCTC.from_pretrained("slplab/apac_5sents_XLS-R_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d14e06d22c260373477a59e5a95a8fceb2eec528ddd0ae7281d8a20601f75bda
- Size of remote file:
- 3.52 kB
- SHA256:
- 9a194c6901dd298954d247fcec8fcd900768fa9aa39e5ef5f312de72f9a1b8fa
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