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:
- dd98415aeec4caae022f2dd8d773f4439c424f4de3290bb75d149eee184bb549
- Size of remote file:
- 3.52 kB
- SHA256:
- 807386c8109f91c9647bb2f7b311aa9bfea21b642cd265d8122354c8f5a2a1e9
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