Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Instructions to use Anujgr8/w2v-bert-Marathi-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anujgr8/w2v-bert-Marathi-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Anujgr8/w2v-bert-Marathi-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Anujgr8/w2v-bert-Marathi-large") model = AutoModelForCTC.from_pretrained("Anujgr8/w2v-bert-Marathi-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signatureb6af37d -
Training in progress, step 3000
Verified signatureb4bbac7 -
Training in progress, step 2700
Verified signaturea97bc0d -
Training in progress, step 2400
Verified signatureecf5d6d -
Training in progress, step 2100
Verified signature41a60b1 -
Training in progress, step 1800
Verified signature150fd30 -
Training in progress, step 1500
Verified signaturedd42326 -
Training in progress, step 1200
Verified signature2daa508 -
Training in progress, step 900
Verified signature9ff08dd -
Training in progress, step 600
Verified signaturec9c0cbf -
Training in progress, step 300
Verified signature5d8cb0f -
Upload processor
Verified signature2c79a07 -
Upload tokenizer
Verified signature3214e7d -
initial commit
Verified signature50e63c7