Instructions to use speech31/XLS-R-english-phoneme with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-english-phoneme with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-english-phoneme")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-english-phoneme") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-english-phoneme", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from speech31/XLS-R-english-phoneme: direct link, hf CLI and curl.
- Browser
- Download file 2.49 GB
-
https://huggingface.co/speech31/XLS-R-english-phoneme/resolve/refs%2Fpr%2F1/optimizer.pt
- Command line
-
hf download hf://speech31/XLS-R-english-phoneme@refs/pr/1/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/speech31/XLS-R-english-phoneme/resolve/refs%2Fpr%2F1/optimizer.pt
2.49 GB
- Xet hash:
- 4b066cc58243d9517a6749485100d7e0d1a5ae8ee7cb43f1447c5a0e8925d31a
- Size of remote file:
- 2.49 GB
- SHA256:
- e116b725c521b7299e4ad4b4cff070fc90251490ff630281683c2c1018d705ed
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