Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Mongolian
wav2vec2-bert
Generated from Trainer
Instructions to use Cafet/w2v-bert-version-final with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Cafet/w2v-bert-version-final with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Cafet/w2v-bert-version-final")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Cafet/w2v-bert-version-final") model = AutoModelForCTC.from_pretrained("Cafet/w2v-bert-version-final", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signature72707d3 -
Training in progress, step 10000
Verified signature3747b9d -
Training in progress, step 9000
Verified signature520aa90 -
Training in progress, step 8000
Verified signature1dd0f3f -
Training in progress, step 7000
Verified signature0db3775 -
Training in progress, step 6000
Verified signature2a4f5ee -
Training in progress, step 5000
Verified signature34ec81f -
Training in progress, step 4000
Verified signature0bde4dd -
Training in progress, step 3000
Verified signature205437a -
Training in progress, step 2000
Verified signaturef88a12d -
Training in progress, step 1000
Verified signaturee01c4e3