Automatic Speech Recognition
Transformers
PyTorch
JAX
Kannada
whisper
whisper-event
Eval Results (legacy)
Instructions to use Imadsarvm/Sarvm-Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Imadsarvm/Sarvm-Translation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Imadsarvm/Sarvm-Translation")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("Imadsarvm/Sarvm-Translation") model = AutoModelForSpeechSeq2Seq.from_pretrained("Imadsarvm/Sarvm-Translation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 300 Bytes
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"transformers_version": "4.27.4",
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