Instructions to use relbert/relbert-roberta-base-nce-semeval2012-average with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-base-nce-semeval2012-average with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base-nce-semeval2012-average")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base-nce-semeval2012-average") model = AutoModel.from_pretrained("relbert/relbert-roberta-base-nce-semeval2012-average", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download analogy.forward.json from relbert/relbert-roberta-base-nce-semeval2012-average: direct link, hf CLI and curl.
- Browser
- Download file 812 Bytes
-
https://huggingface.co/relbert/relbert-roberta-base-nce-semeval2012-average/resolve/refs%2Fpr%2F1/analogy.forward.json
- Command line
-
hf download hf://relbert/relbert-roberta-base-nce-semeval2012-average@refs/pr/1/analogy.forward.json
-
curl -L -o analogy.forward.json https://huggingface.co/relbert/relbert-roberta-base-nce-semeval2012-average/resolve/refs%2Fpr%2F1/analogy.forward.json
812 Bytes
| {"semeval2012_relational_similarity/validation": 0.7721518987341772, "scan/test": 0.2524752475247525, "sat_full/test": 0.5909090909090909, "sat/test": 0.599406528189911, "u2/test": 0.5570175438596491, "u4/test": 0.5625, "google/test": 0.88, "bats/test": 0.6864924958310172, "t_rex_relational_similarity/test": 0.6557377049180327, "conceptnet_relational_similarity/test": 0.39429530201342283, "nell_relational_similarity/test": 0.6383333333333333, "scan/validation": 0.25842696629213485, "sat/validation": 0.5135135135135135, "u2/validation": 0.5, "u4/validation": 0.6041666666666666, "google/validation": 0.96, "bats/validation": 0.7537688442211056, "t_rex_relational_similarity/validation": 0.25, "conceptnet_relational_similarity/validation": 0.31384892086330934, "nell_relational_similarity/validation": 0.58} |