Automatic Speech Recognition
Transformers
Safetensors
Chukot
wav2vec2
chukchi
mms
low-resource-asr
Generated from Trainer
Instructions to use tadgeis/mms-1b-ckt-pooled-all-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tadgeis/mms-1b-ckt-pooled-all-dev with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="tadgeis/mms-1b-ckt-pooled-all-dev")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("tadgeis/mms-1b-ckt-pooled-all-dev") model = AutoModelForCTC.from_pretrained("tadgeis/mms-1b-ckt-pooled-all-dev") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!