Instructions to use ngdiana/xlsr-2-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ngdiana/xlsr-2-bart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ngdiana/xlsr-2-bart")# Load model directly from transformers import AutoTokenizer, AutoModelForSpeechSeq2Seq tokenizer = AutoTokenizer.from_pretrained("ngdiana/xlsr-2-bart") model = AutoModelForSpeechSeq2Seq.from_pretrained("ngdiana/xlsr-2-bart") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ee72602b957a84ede4f3f8cc86a7a76226f2095fe3d0efd3dc821cfa11d2640e
- Size of remote file:
- 1.73 GB
- SHA256:
- bd0208723f5b30f9b3c804fbe1df9d7c65431677e053641332e6690775bcf616
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