Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
common_voice
Generated from Trainer
Instructions to use baaastien/xls-r-ab-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baaastien/xls-r-ab-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="baaastien/xls-r-ab-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("baaastien/xls-r-ab-test") model = AutoModelForCTC.from_pretrained("baaastien/xls-r-ab-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from baaastien/xls-r-ab-test: direct link, hf CLI and curl.
- Browser
- Download file 143 kB
-
https://huggingface.co/baaastien/xls-r-ab-test/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://baaastien/xls-r-ab-test/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/baaastien/xls-r-ab-test/resolve/main/pytorch_model.bin
143 kB
- Xet hash:
- c99108574423067e8c6c796991507345191baba3775fd28ee0fc4cfdce926b85
- Size of remote file:
- 143 kB
- SHA256:
- ac89a4d5306b1b0af49e557b2cf55ff2eae830d8e96f3da9876d516bfe96bf71
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