Instructions to use research-backup/relbert-roberta-large-iloob-d-semeval2012 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use research-backup/relbert-roberta-large-iloob-d-semeval2012 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/relbert-roberta-large-iloob-d-semeval2012")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-roberta-large-iloob-d-semeval2012") model = AutoModel.from_pretrained("research-backup/relbert-roberta-large-iloob-d-semeval2012") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- afdec16b1ea459e62257389639e5f00e9fff0f987c6e1edff4b33949fb22858b
- Size of remote file:
- 1.42 GB
- SHA256:
- 30de844c66e8f866c854dd44393da63d7c1941739682ec070c9d3df542576078
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