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_int8_float16/model.bin from igunosalabs/Unose-Huen-Base: direct link, hf CLI and curl.
- Browser
- Download file 74.2 MB
-
https://huggingface.co/igunosalabs/Unose-Huen-Base/resolve/main/ctranslate2_int8_float16/model.bin
- Command line
-
hf download hf://igunosalabs/Unose-Huen-Base/ctranslate2_int8_float16/model.bin
-
curl -L -o model.bin https://huggingface.co/igunosalabs/Unose-Huen-Base/resolve/main/ctranslate2_int8_float16/model.bin
74.2 MB
- Xet hash:
- 20082ae2ab999fc6e08f7ed1f6e528d925f11a3578600865133493f70b2e4cd6
- Size of remote file:
- 74.2 MB
- SHA256:
- 7ad6ed14c15c2bf20d01111932f4c8cd2a1956b4a54fbbdd19cde7ed0c5a8e4b
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