Instructions to use relbert/relbert-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-large") model = AutoModel.from_pretrained("relbert/relbert-roberta-large") - Notebooks
- Google Colab
- Kaggle
| {"sat_full/test": 0.7272727272727273, "sat/test": 0.7299703264094956, "u2/test": 0.7149122807017544, "u4/test": 0.6875, "google/test": 0.962, "bats/test": 0.8354641467481935, "t_rex_relational_similarity/test": 0.644808743169399, "conceptnet_relational_similarity/test": 0.4672818791946309, "sat/validation": 0.7027027027027027, "u2/validation": 0.5833333333333334, "u4/validation": 0.5833333333333334, "google/validation": 1.0, "bats/validation": 0.8793969849246231, "semeval2012_relational_similarity/validation": 0.7341772151898734, "t_rex_relational_similarity/validation": 0.27419354838709675, "conceptnet_relational_similarity/validation": 0.38219424460431656} |