Text Classification
PEFT
Safetensors
cross-encoder
lora
context-compression
text-compression
english
relevance-scoring
Instructions to use snchimata/tokenfold-select with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use snchimata/tokenfold-select with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Download adapter/tokenizer_config.json from snchimata/tokenfold-select: direct link, hf CLI and curl.
- Browser
- Download file 566 Bytes
-
https://huggingface.co/snchimata/tokenfold-select/resolve/main/adapter/tokenizer_config.json
- Command line
-
hf download hf://snchimata/tokenfold-select/adapter/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/snchimata/tokenfold-select/resolve/main/adapter/tokenizer_config.json
566 Bytes
| { | |
| "backend": "tokenizers", | |
| "clean_up_tokenization_spaces": true, | |
| "cls_token": "[CLS]", | |
| "is_local": false, | |
| "mask_token": "[MASK]", | |
| "max_length": 1124, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 1124, | |
| "pad_to_multiple_of": null, | |
| "pad_token": "[PAD]", | |
| "pad_token_type_id": 0, | |
| "padding_side": "right", | |
| "sep_token": "[SEP]", | |
| "stride": 0, | |
| "tokenizer_class": "TokenizersBackend", | |
| "truncation_side": "right", | |
| "truncation_strategy": "longest_first", | |
| "unk_token": "[UNK]" | |
| } | |