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")
https://huggingface.co/relbert/relbert-roberta-base-nce-semeval2012-average/resolve/refs%2Fpr%2F1/relation_mapping.json
hf download hf://relbert/relbert-roberta-base-nce-semeval2012-average@refs/pr/1/relation_mapping.json
curl -L -o relation_mapping.json https://huggingface.co/relbert/relbert-roberta-base-nce-semeval2012-average/resolve/refs%2Fpr%2F1/relation_mapping.json
