Instructions to use Rolv-Arild/xls-r-300m-npsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rolv-Arild/xls-r-300m-npsc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Rolv-Arild/xls-r-300m-npsc")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Rolv-Arild/xls-r-300m-npsc") model = AutoModelForCTC.from_pretrained("Rolv-Arild/xls-r-300m-npsc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Rolv-Arild/xls-r-300m-npsc: direct link, hf CLI and curl.
- Browser
- Download file 1.26 GB
-
https://huggingface.co/Rolv-Arild/xls-r-300m-npsc/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Rolv-Arild/xls-r-300m-npsc/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Rolv-Arild/xls-r-300m-npsc/resolve/main/pytorch_model.bin
1.26 GB
- Xet hash:
- 6cf7056459ac06e6e2aba97fe48ac6a1c3bf3b4287f6ddb4f710fd0086b40635
- Size of remote file:
- 1.26 GB
- SHA256:
- 95abc226b6c73cfc24cc4c1e36cc148d52d0c60814ae9d0df3c8b99abcb72e5c
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