Instructions to use DarliAI/kissi-w2v2-lg-xls-r-300m-kinyarwanda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarliAI/kissi-w2v2-lg-xls-r-300m-kinyarwanda with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="DarliAI/kissi-w2v2-lg-xls-r-300m-kinyarwanda")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DarliAI/kissi-w2v2-lg-xls-r-300m-kinyarwanda") model = AutoModelForCTC.from_pretrained("DarliAI/kissi-w2v2-lg-xls-r-300m-kinyarwanda", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7faeddcb1e3e351e6beb89e92f3ee887035c9675bc8967e0b6051edd16e0853c
- Size of remote file:
- 5.3 kB
- SHA256:
- 519ca727e4d2ca991300b9e93d127894ff553a7cb55214a5216842233e1db26f
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