Automatic Speech Recognition
Transformers
Safetensors
wav2vec2-bert
ctc
ethiopian-languages
amharic
tigrinya
oromo
wolaytta
sidaama
multilingual
Instructions to use boazsew/Ethio-ASR-w2v-bert-2.0-uf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boazsew/Ethio-ASR-w2v-bert-2.0-uf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="boazsew/Ethio-ASR-w2v-bert-2.0-uf")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("boazsew/Ethio-ASR-w2v-bert-2.0-uf") model = AutoModelForCTC.from_pretrained("boazsew/Ethio-ASR-w2v-bert-2.0-uf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!