Instructions to use vamsibhagi/CodeSwitch-Aya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vamsibhagi/CodeSwitch-Aya with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("vamsibhagi/CodeSwitch-Aya", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 589 Bytes
6a1abf0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": "<BOS_TOKEN>",
"clean_up_tokenization_spaces": false,
"cls_token": "<CLS>",
"eos_token": "<|END_OF_TURN_TOKEN|>",
"errors": "replace",
"is_local": false,
"legacy": true,
"local_files_only": false,
"mask_token": "<MASK_TOKEN>",
"model_max_length": 1000000000000000019884624838656,
"pad_token": "<PAD>",
"sep_token": "<SEP>",
"sp_model_kwargs": {},
"spaces_between_special_tokens": false,
"tokenizer_class": "CohereTokenizer",
"unk_token": "<UNK>",
"use_default_system_prompt": false
}
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