Instructions to use ashishabraham22/XLS-R_Finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashishabraham22/XLS-R_Finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="ashishabraham22/XLS-R_Finetuned")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("ashishabraham22/XLS-R_Finetuned") model = AutoModelForCTC.from_pretrained("ashishabraham22/XLS-R_Finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3faa99bb1d4214dd9fb3244d4e8b4a4b90d1a7a54bef32c7edf05c8586f3a9eb
- Size of remote file:
- 1.26 GB
- SHA256:
- f9303c312468d510c6300a7d305a2c9535d6f2057ad3764c5dfbddd2a633251f
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