Instructions to use Barleysack/klue-roberta-LSTM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barleysack/klue-roberta-LSTM with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Barleysack/klue-roberta-LSTM") model = AutoModel.from_pretrained("Barleysack/klue-roberta-LSTM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 721c9be755dcb407ff628ee65a19fa88fc2a771f334df506b08f424f48f34e28
- Size of remote file:
- 1.41 GB
- SHA256:
- 2d1edd8b3db3558e5ad79f866e47ff5a4a502a2e99b60d82805de41bcbf3ad0f
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