Automatic Speech Recognition
Transformers
Safetensors
wav2vec2-bert
ctc
w2v-bert
amharic
oromo
waxal
Instructions to use smutuvi/ethio_w2vbert_amh_orm_waxal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smutuvi/ethio_w2vbert_amh_orm_waxal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="smutuvi/ethio_w2vbert_amh_orm_waxal")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("smutuvi/ethio_w2vbert_amh_orm_waxal") model = AutoModelForCTC.from_pretrained("smutuvi/ethio_w2vbert_amh_orm_waxal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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