Instructions to use kwoncho/KoFinBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kwoncho/KoFinBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kwoncho/KoFinBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kwoncho/KoFinBERT") model = AutoModelForSequenceClassification.from_pretrained("kwoncho/KoFinBERT") - Notebooks
- Google Colab
- Kaggle
Upload tokenizer
Browse files- tokenizer_config.json +1 -1
tokenizer_config.json
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "./
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"eos_token": "[SEP]",
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "./checkpoint_3/best_model",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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