Instructions to use DarliAI/kissi-w2v2-lg-xls-r-300m-bemba 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-bemba 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-bemba")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("DarliAI/kissi-w2v2-lg-xls-r-300m-bemba") model = AutoModelForCTC.from_pretrained("DarliAI/kissi-w2v2-lg-xls-r-300m-bemba", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3f574fca1f4424ccbe7d0b3bcc0963a295f214855ca59c50315aa586b6b615f9
- Size of remote file:
- 5.3 kB
- SHA256:
- d9e5ded45694da70ec0a20f602d369a500c2e2a2c034a19a490b22eaa2b00a74
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