Instructions to use Roxysun/wav2vec2-large-xls-r-300m-hungarian-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roxysun/wav2vec2-large-xls-r-300m-hungarian-colab with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Roxysun/wav2vec2-large-xls-r-300m-hungarian-colab")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Roxysun/wav2vec2-large-xls-r-300m-hungarian-colab") model = AutoModelForCTC.from_pretrained("Roxysun/wav2vec2-large-xls-r-300m-hungarian-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e4d00e7acbaeed09d95df95ce6b77f0785e0b793d0260697b856e8dc7d56d36
- Size of remote file:
- 1.26 GB
- SHA256:
- 6f3dfac983bf67770f10ee2dd4b43d55b5037feb8e1166577b7fcb8e0d71efac
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