Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
nigerian-accent
igunosa-labs
unose
Instructions to use igunosalabs/Unose-Huen-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igunosalabs/Unose-Huen-Base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="igunosalabs/Unose-Huen-Base")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("igunosalabs/Unose-Huen-Base") model = AutoModelForSpeechSeq2Seq.from_pretrained("igunosalabs/Unose-Huen-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ctranslate2_float32/model.bin from igunosalabs/Unose-Huen-Base: direct link, hf CLI and curl.
- Browser
- Download file 290 MB
-
https://huggingface.co/igunosalabs/Unose-Huen-Base/resolve/main/ctranslate2_float32/model.bin
- Command line
-
hf download hf://igunosalabs/Unose-Huen-Base/ctranslate2_float32/model.bin
-
curl -L -o model.bin https://huggingface.co/igunosalabs/Unose-Huen-Base/resolve/main/ctranslate2_float32/model.bin
290 MB
- Xet hash:
- f9db1f45cd98df89db8f1e21ecf1a99adf4c48d9a2290552733e5e78ecf292c2
- Size of remote file:
- 290 MB
- SHA256:
- ae3a614bd429e5a6972323320b8d6ce9443fbbd3b5963616be5c0c19bba34127
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