Instructions to use alaatiger989/Arabic_Finetuned_ASR_Nemo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- NeMo
How to use alaatiger989/Arabic_Finetuned_ASR_Nemo with NeMo:
import nemo.collections.asr as nemo_asr asr_model = nemo_asr.models.ASRModel.from_pretrained("alaatiger989/Arabic_Finetuned_ASR_Nemo") transcriptions = asr_model.transcribe(["file.wav"]) - Transformers
How to use alaatiger989/Arabic_Finetuned_ASR_Nemo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="alaatiger989/Arabic_Finetuned_ASR_Nemo")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("alaatiger989/Arabic_Finetuned_ASR_Nemo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download __pycache__/app_api_2.cpython-310.pyc from alaatiger989/Arabic_Finetuned_ASR_Nemo: direct link, hf CLI and curl.
- Browser
- Download file 5.6 kB
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https://huggingface.co/alaatiger989/Arabic_Finetuned_ASR_Nemo/resolve/main/__pycache__/app_api_2.cpython-310.pyc
- Command line
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hf download hf://alaatiger989/Arabic_Finetuned_ASR_Nemo/__pycache__/app_api_2.cpython-310.pyc
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curl -L -o app_api_2.cpython-310.pyc https://huggingface.co/alaatiger989/Arabic_Finetuned_ASR_Nemo/resolve/main/__pycache__/app_api_2.cpython-310.pyc
5.6 kB
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