Instructions to use klue/roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use klue/roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="klue/roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("klue/roberta-base") model = AutoModelForMaskedLM.from_pretrained("klue/roberta-base", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
File size: 375 Bytes
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"do_lower_case": false,
"do_basic_tokenize": true,
"never_split": null,
"unk_token": "[UNK]",
"sep_token": "[SEP]",
"pad_token": "[PAD]",
"cls_token": "[CLS]",
"mask_token": "[MASK]",
"bos_token": "[CLS]",
"eos_token": "[SEP]",
"tokenize_chinese_chars": true,
"strip_accents": null,
"model_max_length": 512,
"tokenizer_class": "BertTokenizer"
}
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