Instructions to use hadiqa123/XLS-R_53_english with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/XLS-R_53_english with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/XLS-R_53_english")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hadiqa123/XLS-R_53_english") model = AutoModelForCTC.from_pretrained("hadiqa123/XLS-R_53_english", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download alphabet.json from hadiqa123/XLS-R_53_english: direct link, hf CLI and curl.
- Browser
- Download file 198 Bytes
-
https://huggingface.co/hadiqa123/XLS-R_53_english/resolve/refs%2Fpr%2F1/alphabet.json
- Command line
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hf download hf://hadiqa123/XLS-R_53_english@refs/pr/1/alphabet.json
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curl -L -o alphabet.json https://huggingface.co/hadiqa123/XLS-R_53_english/resolve/refs%2Fpr%2F1/alphabet.json
198 Bytes
| {"labels": ["y", "v", "p", "z", "b", "w", "r", "h", "u", "l", "e", "n", "t", "c", "q", "o", "x", "f", "a", "s", "g", " ", "k", "j", "d", "i", "m", "'", "\u2047", "", "<s>", "</s>"], "is_bpe": false} |