Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Bengali
whisper
hf-asr-leaderboard
Generated from Trainer
Eval Results (legacy)
Instructions to use Rounak28/bengaliAI-finetuned-0-10000-50-percent-new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rounak28/bengaliAI-finetuned-0-10000-50-percent-new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rounak28/bengaliAI-finetuned-0-10000-50-percent-new")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Rounak28/bengaliAI-finetuned-0-10000-50-percent-new") model = AutoModelForSpeechSeq2Seq.from_pretrained("Rounak28/bengaliAI-finetuned-0-10000-50-percent-new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K