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
File size: 678 Bytes
3bfa13c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"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
}
|