Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Eval Results (legacy)
Instructions to use Samuael/ethiopic-asr-characters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Samuael/ethiopic-asr-characters with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="Samuael/ethiopic-asr-characters")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("Samuael/ethiopic-asr-characters") model = AutoModelForCTC.from_pretrained("Samuael/ethiopic-asr-characters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
Browse files- tokenizer_config.json +2 -2
tokenizer_config.json
CHANGED
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@@ -16,7 +16,7 @@
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"single_word": false,
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"special": false
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},
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"
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": false
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},
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"270": {
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"content": "<s>",
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"lstrip": false,
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"normalized": false,
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"single_word": false,
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"special": true
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},
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"271": {
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"content": "</s>",
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"lstrip": false,
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"normalized": false,
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