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")# pip install -U transformers accelerate # 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
Training in progress, step 100
Browse files
pytorch_model.bin
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runs/Nov04_18-30-42_oem-WS-C621E-SAGE-Series/events.out.tfevents.1699090321.oem-WS-C621E-SAGE-Series.3455893.0
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