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 train_split.jsonl from alaatiger989/Arabic_Finetuned_ASR_Nemo: direct link, hf CLI and curl.
- Browser
- Download file 1.56 MB
-
https://huggingface.co/alaatiger989/Arabic_Finetuned_ASR_Nemo/resolve/main/train_split.jsonl
- Command line
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hf download hf://alaatiger989/Arabic_Finetuned_ASR_Nemo/train_split.jsonl
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curl -L -o train_split.jsonl https://huggingface.co/alaatiger989/Arabic_Finetuned_ASR_Nemo/resolve/main/train_split.jsonl
1.56 MB
File too large to display, you can check the raw version instead.