Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Swahili
whisper
swahili
asr
tanzania
child-helpline
telephony
domain-adaptation
Eval Results (legacy)
Instructions to use openchs/asr-whisper-largev2-v6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use openchs/asr-whisper-largev2-v6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="openchs/asr-whisper-largev2-v6")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("openchs/asr-whisper-largev2-v6") model = AutoModelForSpeechSeq2Seq.from_pretrained("openchs/asr-whisper-largev2-v6", 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!