Instructions to use slplab/5sents_XLS-R_2_e-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use slplab/5sents_XLS-R_2_e-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="slplab/5sents_XLS-R_2_e-4")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("slplab/5sents_XLS-R_2_e-4") model = AutoModelForCTC.from_pretrained("slplab/5sents_XLS-R_2_e-4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- db25b544dd7565c8f1d0e4f13626e19940e77c7a490bafddf02758936afc45cc
- Size of remote file:
- 3.52 kB
- SHA256:
- 9cda1812eaeac281dec575d3ab08429b0347c9d552db29a87678da5ccb826f35
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