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:
- 0cf96456e35c0a21c324d71b87fb7811aa068af6038aea9abffc7213c88d838c
- Size of remote file:
- 1.41 GB
- SHA256:
- 16a336762ed49849ec3f97bd08769e616293835b98b9041cb9e15b4bc1b38cd2
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