Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
nigerian-accent
igunosa-labs
unose
Instructions to use igunosalabs/Unose-Huen-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use igunosalabs/Unose-Huen-Small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="igunosalabs/Unose-Huen-Small")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("igunosalabs/Unose-Huen-Small") model = AutoModelForSpeechSeq2Seq.from_pretrained("igunosalabs/Unose-Huen-Small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ctranslate2_float16/model.bin from igunosalabs/Unose-Huen-Small: direct link, hf CLI and curl.
- Browser
- Download file 484 MB
-
https://huggingface.co/igunosalabs/Unose-Huen-Small/resolve/main/ctranslate2_float16/model.bin
- Command line
-
hf download hf://igunosalabs/Unose-Huen-Small/ctranslate2_float16/model.bin
-
curl -L -o model.bin https://huggingface.co/igunosalabs/Unose-Huen-Small/resolve/main/ctranslate2_float16/model.bin
484 MB
- Xet hash:
- e2a42240626fa70902b70c649e16702881498f16655462b3c241f4fd333f261f
- Size of remote file:
- 484 MB
- SHA256:
- 0b38cbcb48fd92cfdc6fc1831f8eb3e6afd782ec7bfbc1ce0a7f79df1bcb9820
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