Instructions to use utahnlp/robertabase-structured-tuning-srl-conll2012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utahnlp/robertabase-structured-tuning-srl-conll2012 with Transformers:
# Load model directly from transformers import AutoTokenizer, RobertaForSRL tokenizer = AutoTokenizer.from_pretrained("utahnlp/robertabase-structured-tuning-srl-conll2012") model = RobertaForSRL.from_pretrained("utahnlp/robertabase-structured-tuning-srl-conll2012") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ff0a9bf5c50aae9a80889f7798d0bc1586a0d6449094a89d4de937bc3c75af9c
- Size of remote file:
- 511 MB
- SHA256:
- 93fac9808252b3265e50c2257613492087ac436bc1132d9e5ec94823a782be73
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