Instructions to use joshuarwanda/wav2vec2-large-xls-r-300m-swahili-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joshuarwanda/wav2vec2-large-xls-r-300m-swahili-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="joshuarwanda/wav2vec2-large-xls-r-300m-swahili-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("joshuarwanda/wav2vec2-large-xls-r-300m-swahili-colab") model = AutoModelForCTC.from_pretrained("joshuarwanda/wav2vec2-large-xls-r-300m-swahili-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 755c143fb6478325b475e2617e0b1b2879bd5562653f8d9d73c1190f9669ebac
- Size of remote file:
- 4.6 kB
- SHA256:
- 54fcfffa02cee4562757e149f0e681af077fee1c73c108c3e09186f36dc91ac4
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