Instructions to use jinmang2/textcnn-ko-dialect-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jinmang2/textcnn-ko-dialect-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jinmang2/textcnn-ko-dialect-classifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("jinmang2/textcnn-ko-dialect-classifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json
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tokenizer_config.json
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "
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{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": "<mask>", "tokenizer_class": "PreTrainedTokenizerFast"}
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