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 training_args.bin from hadiqa123/XLS-R_53_english: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/hadiqa123/XLS-R_53_english/resolve/main/training_args.bin
- Command line
-
hf download hf://hadiqa123/XLS-R_53_english/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hadiqa123/XLS-R_53_english/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 509b808fa4efa27b8ad08436afa59b170fb1b403631a226b063632fc15d71e90
- Size of remote file:
- 2.99 kB
- SHA256:
- 7f6746256620422ed8af1962a491a28aef2fbd1b818f82d8d81fb72b5f03c734
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