Instructions to use elgeish/wav2vec2-large-xlsr-53-levantine-arabic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use elgeish/wav2vec2-large-xlsr-53-levantine-arabic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="elgeish/wav2vec2-large-xlsr-53-levantine-arabic")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("elgeish/wav2vec2-large-xlsr-53-levantine-arabic") model = AutoModelForCTC.from_pretrained("elgeish/wav2vec2-large-xlsr-53-levantine-arabic") - Notebooks
- Google Colab
- Kaggle
| {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "pad_token": "<pad>", "do_lower_case": false, "word_delimiter_token": "/", "return_attention_mask": false, "do_normalize": true, "special_tokens_map_file": "special_tokens_map.json", "name_or_path": "elgeish/wav2vec2-large-xlsr-53-levantine-arabic"} |