Instructions to use speech31/XLS-R-300m-english-ipa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use speech31/XLS-R-300m-english-ipa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="speech31/XLS-R-300m-english-ipa")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("speech31/XLS-R-300m-english-ipa") model = AutoModelForCTC.from_pretrained("speech31/XLS-R-300m-english-ipa", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from speech31/XLS-R-300m-english-ipa: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/speech31/XLS-R-300m-english-ipa/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://speech31/XLS-R-300m-english-ipa/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/speech31/XLS-R-300m-english-ipa/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 09eebf29af33a5e6ed9a8b88165ea12259fcc924c7c245fe7d2cb76c644fc8ce
- Size of remote file:
- 1.26 GB
- SHA256:
- ab8cbf0c4ca4d9ee905f6e1edd7f32858f67ee46826caa5bef77bd0e55edf602
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