Instructions to use monologg/kobert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use monologg/kobert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="monologg/kobert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("monologg/kobert") model = AutoModel.from_pretrained("monologg/kobert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24b74e00460ca91c850f501a51b9b860a1b3a06c736bec347d0754f01a174806
- Size of remote file:
- 369 MB
- SHA256:
- 48d731930ce1af3b9d5d7ee7f8207bd79f09734624a860d56a47a885858bbc2b
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