Instructions to use hadiqa123/XLS-R_timit_en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadiqa123/XLS-R_timit_en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="hadiqa123/XLS-R_timit_en")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("hadiqa123/XLS-R_timit_en") model = AutoModelForCTC.from_pretrained("hadiqa123/XLS-R_timit_en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from hadiqa123/XLS-R_timit_en: direct link, hf CLI and curl.
- Browser
- Download file 2.99 kB
-
https://huggingface.co/hadiqa123/XLS-R_timit_en/resolve/main/training_args.bin
- Command line
-
hf download hf://hadiqa123/XLS-R_timit_en/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/hadiqa123/XLS-R_timit_en/resolve/main/training_args.bin
2.99 kB
- Xet hash:
- 20e51c834492c8f7aada5b0bf3808fedd76f4feb89fec26e7bf3ab3126b069c7
- Size of remote file:
- 2.99 kB
- SHA256:
- c703de7c7319ce2491ed33c9c012f33fb59e399d90ddffaf043a6a78ad813368
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