Instructions to use CrossBaseArithmetic/crossbase-tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CrossBaseArithmetic/crossbase-tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("CrossBaseArithmetic/crossbase-tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,849 Bytes
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"version": "1.0",
"truncation": null,
"padding": null,
"added_tokens": [
{
"id": 0,
"content": "<pad>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
{
"id": 1,
"content": "<bos>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
{
"id": 2,
"content": "<eos>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
},
{
"id": 3,
"content": "<unk>",
"single_word": false,
"lstrip": false,
"rstrip": false,
"normalized": false,
"special": true
}
],
"normalizer": null,
"pre_tokenizer": {
"type": "Split",
"pattern": {
"Regex": "[\\s\\S]"
},
"behavior": "Isolated",
"invert": false
},
"post_processor": {
"type": "TemplateProcessing",
"single": [
{
"Sequence": {
"id": "A",
"type_id": 0
}
}
],
"pair": [
{
"Sequence": {
"id": "A",
"type_id": 0
}
},
{
"Sequence": {
"id": "B",
"type_id": 1
}
}
],
"special_tokens": {}
},
"decoder": {
"type": "Fuse"
},
"model": {
"type": "WordLevel",
"vocab": {
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"<bos>": 1,
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"9": 15,
"=": 16,
"A": 17,
"B": 18,
"C": 19,
"D": 20,
"E": 21,
"F": 22
},
"unk_token": "<unk>"
}
} |