Instructions to use kumar9/super-cool-model4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use kumar9/super-cool-model4 with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("kumar9/super-cool-model4") - Notebooks
- Google Colab
- Kaggle
Create tokenizer_config.json
Browse files- tokenizer_config.json +1 -0
tokenizer_config.json
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{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-base-uncased"}
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