Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
CLEAR-Global/chichewa_34_68h
Generated from Trainer
Instructions to use CLEAR-Global/w2v-bert-2.0-chichewa_34_68h with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLEAR-Global/w2v-bert-2.0-chichewa_34_68h with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="CLEAR-Global/w2v-bert-2.0-chichewa_34_68h")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("CLEAR-Global/w2v-bert-2.0-chichewa_34_68h") model = AutoModelForCTC.from_pretrained("CLEAR-Global/w2v-bert-2.0-chichewa_34_68h") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9843ab7f0843378ab88612c8868b1af86e18e847c4cd12965a5967dfe5c7c7a3
- Size of remote file:
- 5.43 kB
- SHA256:
- 4c4c4150814277f766e3dd10aecb3149810f17e8db0a458405d6ff163dc03bf4
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