Automatic Speech Recognition
NeMo
Safetensors
Transformers
Persian
nemotron3_5_asr
feature-extraction
streaming-asr
cache-aware ASR
FastConformer
RNNT
NeMo
persian
farsi
Eval Results (legacy)
Instructions to use mehdi-hf/nemotron-asr-streaming-farsi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
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"]) - Transformers
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") - Notebooks
- Google Colab
- Kaggle