Instructions to use rashid0784/luganda-dialect-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rashid0784/luganda-dialect-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("rashid0784/luganda-dialect-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 475 Bytes
5ddf86a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"backend": "tokenizers",
"bos_token": "<|begin_of_text|>",
"clean_up_tokenization_spaces": true,
"eos_token": "<|eot_id|>",
"extra_special_tokens": [
"<|audio|>"
],
"is_local": false,
"model_input_names": [
"input_ids",
"attention_mask"
],
"model_max_length": 131072,
"model_specific_special_tokens": {},
"pad_token": "<|finetune_right_pad_id|>",
"padding_side": "left",
"tokenizer_class": "TokenizersBackend",
"unk_token": null
}
|