Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use Yasu-Okuda/YataGarasu-TextClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Yasu-Okuda/YataGarasu-TextClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Yasu-Okuda/YataGarasu-TextClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Yasu-Okuda/YataGarasu-TextClassification") model = AutoModelForSequenceClassification.from_pretrained("Yasu-Okuda/YataGarasu-TextClassification") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_dummy_prefix_space": false, | |
| "add_prefix_space": false, | |
| "backend": "tokenizers", | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": false, | |
| "cls_token": "<cls>", | |
| "do_lower_case": false, | |
| "eos_token": "</s>", | |
| "extra_ids": 0, | |
| "is_local": false, | |
| "keep_accents": true, | |
| "legacy": false, | |
| "mask_token": "<mask>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "model_specific_special_tokens": {}, | |
| "pad_token": "<pad>", | |
| "padding_side": "right", | |
| "sep_token": "<sep>", | |
| "sp_model_kwargs": {}, | |
| "spaces_between_special_tokens": false, | |
| "tokenizer_class": "TokenizersBackend", | |
| "unk_token": "<unk>", | |
| "use_default_system_prompt": false | |
| } | |