Text Classification
Transformers
Safetensors
roberta
korean
ocr
screenshot-classification
klue-roberta
capturemate
text-embeddings-inference
Instructions to use hur03/capturemate-category-classifier-v2-4class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hur03/capturemate-category-classifier-v2-4class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hur03/capturemate-category-classifier-v2-4class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hur03/capturemate-category-classifier-v2-4class") model = AutoModelForSequenceClassification.from_pretrained("hur03/capturemate-category-classifier-v2-4class", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 534 Bytes
c6c4324 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | {
"backend": "tokenizers",
"bos_token": "[CLS]",
"cls_token": "[CLS]",
"do_basic_tokenize": true,
"do_lower_case": false,
"eos_token": "[SEP]",
"is_local": true,
"mask_token": "[MASK]",
"max_length": 256,
"model_max_length": 512,
"never_split": null,
"pad_token": "[PAD]",
"sep_token": "[SEP]",
"stride": 0,
"strip_accents": null,
"tokenize_chinese_chars": true,
"tokenizer_class": "TokenizersBackend",
"truncation_side": "right",
"truncation_strategy": "longest_first",
"unk_token": "[UNK]"
}
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