Instructions to use Trofish/korean_syllable_roberta_128 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trofish/korean_syllable_roberta_128 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Trofish/korean_syllable_roberta_128")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Trofish/korean_syllable_roberta_128") model = AutoModelForMaskedLM.from_pretrained("Trofish/korean_syllable_roberta_128") - Notebooks
- Google Colab
- Kaggle
Update __init__.py
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__init__.py
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from syllabletokenizer import SyllableTokenizer
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