Automatic Speech Recognition
Transformers
Safetensors
English
whisper
text-generation-inference
unsloth
Instructions to use Kibalama/lugandaSTT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kibalama/lugandaSTT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Kibalama/lugandaSTT")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Kibalama/lugandaSTT") model = AutoModelForSpeechSeq2Seq.from_pretrained("Kibalama/lugandaSTT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download model.safetensors from Kibalama/lugandaSTT: direct link, hf CLI and curl.
- Browser
- Download file 882 MB
-
https://huggingface.co/Kibalama/lugandaSTT/resolve/main/model.safetensors
- Command line
-
hf download hf://Kibalama/lugandaSTT/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Kibalama/lugandaSTT/resolve/main/model.safetensors
882 MB
- Xet hash:
- 8cc74da44fd2e84c0f1810650e12ec865f8c511fd5115688440ac8c3a68737ba
- Size of remote file:
- 882 MB
- SHA256:
- 0f28b2da907e393f1f91a94cee91a76538cd54e54dc4ade487c51adaa6e7edb1
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