Automatic Speech Recognition
Transformers
Safetensors
Meru
wav2vec2-bert
speech
asr
african-languages
w2v-bert
khaya
Eval Results (legacy)
Instructions to use KhayaAI/w2v-bert-mer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KhayaAI/w2v-bert-mer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="KhayaAI/w2v-bert-mer")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("KhayaAI/w2v-bert-mer") model = AutoModelForCTC.from_pretrained("KhayaAI/w2v-bert-mer", 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!