Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2-bert
Generated from Trainer
Instructions to use cdactvm/w2v-bert-odia_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cdactvm/w2v-bert-odia_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="cdactvm/w2v-bert-odia_v1")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("cdactvm/w2v-bert-odia_v1") model = AutoModelForCTC.from_pretrained("cdactvm/w2v-bert-odia_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 34200
Browse files
model.safetensors
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