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:
- c2b74ae9525b66110b67b866a9f498648fef4046e6704a12e2aff4c23aaf8ce2
- Size of remote file:
- 2.29 kB
- SHA256:
- 574e5e2a956b3e59901c3ed9848a90b98bd67a72f27a5e69b189b003d4e05fd4
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