Instructions to use Bedru/amharic_dialect_tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bedru/amharic_dialect_tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bedru/amharic_dialect_tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 383 Bytes
3cda224 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<|startoftranscript|>",
"clean_up_tokenization_spaces": false,
"eos_token": "<|endoftext|>",
"language": null,
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<pad>",
"predict_timestamps": false,
"task": null,
"tokenizer_class": "WhisperTokenizer",
"unk_token": "<unk>"
}
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