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_int8_float16/model.bin from igunosalabs/Unose-Huen-Small: direct link, hf CLI and curl.
- Browser
- Download file 245 MB
-
https://huggingface.co/igunosalabs/Unose-Huen-Small/resolve/main/ctranslate2_int8_float16/model.bin
- Command line
-
hf download hf://igunosalabs/Unose-Huen-Small/ctranslate2_int8_float16/model.bin
-
curl -L -o model.bin https://huggingface.co/igunosalabs/Unose-Huen-Small/resolve/main/ctranslate2_int8_float16/model.bin
245 MB
- Xet hash:
- f071dcbb2f1de4bfdd0ad18fe30d7b904f0726e9956acdbd8cfc8ca17036070f
- Size of remote file:
- 245 MB
- SHA256:
- 35fc0390b5fc7146e705860c80fee8494d6ceaacd7d18adb436cc5bbab1c9271
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.