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") - Notebooks
- Google Colab
- Kaggle
Upload Wav2Vec2ForCTC
Browse files- config.json +1 -1
- pytorch_model.bin +2 -2
config.json
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"activation_dropout": 0.0,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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"_name_or_path": "/data4/lsnoo/DYS/ASR/w2v/apac_5sents_XLS-R",
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"activation_dropout": 0.0,
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"adapter_kernel_size": 3,
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"adapter_stride": 2,
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pytorch_model.bin
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