How to use mehdi-hf/nemotron-asr-streaming-farsi with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("mehdi-hf/nemotron-asr-streaming-farsi") transcriptions = asr_model.transcribe(["file.wav"])
How to use mehdi-hf/nemotron-asr-streaming-farsi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="mehdi-hf/nemotron-asr-streaming-farsi")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("mehdi-hf/nemotron-asr-streaming-farsi") model = AutoModel.from_pretrained("mehdi-hf/nemotron-asr-streaming-farsi", device_map="auto")
https://huggingface.co/mehdi-hf/nemotron-asr-streaming-farsi/resolve/main/assets/results.png
hf download hf://mehdi-hf/nemotron-asr-streaming-farsi/assets/results.png
curl -L -o results.png https://huggingface.co/mehdi-hf/nemotron-asr-streaming-farsi/resolve/main/assets/results.png
