Instructions to use Trofish/korean_syllable_roberta_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Trofish/korean_syllable_roberta_256 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Trofish/korean_syllable_roberta_256")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Trofish/korean_syllable_roberta_256") model = AutoModelForMaskedLM.from_pretrained("Trofish/korean_syllable_roberta_256", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2c26575d6f111f2b7f12b6db54622b41ec72eabeb7e302c3bc4bbdc4f386cdb6
- Size of remote file:
- 5.11 kB
- SHA256:
- b95957030dfded0ad268ce9972f08f7d0a70fc5f19495baf4a8c60161c533896
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