Instructions to use research-backup/relbert-roberta-large-iloob-e-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-e-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-e-semeval2012")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-roberta-large-iloob-e-semeval2012") model = AutoModel.from_pretrained("research-backup/relbert-roberta-large-iloob-e-semeval2012", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"semeval2012_relational_similarity/validation": 0.7974683544303798, "sat_full/test": 0.6417112299465241, "sat/test": 0.6320474777448071, "u2/test": 0.6140350877192983, "u4/test": 0.5925925925925926, "google/test": 0.938, "bats/test": 0.7987770983879934, "t_rex_relational_similarity/test": 0.5956284153005464, "conceptnet_relational_similarity/test": 0.3775167785234899, "nell_relational_similarity/test": 0.6583333333333333, "sat/validation": 0.7297297297297297, "u2/validation": 0.625, "u4/validation": 0.625, "google/validation": 0.96, "bats/validation": 0.864321608040201, "t_rex_relational_similarity/validation": 0.24193548387096775, "conceptnet_relational_similarity/validation": 0.30035971223021585, "nell_relational_similarity/validation": 0.56, "scan/test": 0.2957920792079208, "scan/validation": 0.33707865168539325} |