Automatic Speech Recognition
Transformers
PyTorch
Abkhaz
wav2vec2
common_voice
Generated from Trainer
Instructions to use pablouribe/xls-r-ab-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pablouribe/xls-r-ab-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pablouribe/xls-r-ab-test")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("pablouribe/xls-r-ab-test") model = AutoModelForCTC.from_pretrained("pablouribe/xls-r-ab-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 2614bdb
update model card README.md
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README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- common_voice
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#
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This model is a fine-tuned version of [hf-test/xls-r-dummy](https://huggingface.co/hf-test/xls-r-dummy) on the
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## Model description
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language:
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- ab
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tags:
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- automatic-speech-recognition
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- common_voice
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- generated_from_trainer
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datasets:
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- common_voice
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This model is a fine-tuned version of [hf-test/xls-r-dummy](https://huggingface.co/hf-test/xls-r-dummy) on the COMMON_VOICE - AB dataset.
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It achieves the following results on the evaluation set:
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- Loss: 133.2596
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- Wer: 19.1571
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## Model description
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