How to use research-backup/relbert-roberta-large-nce-e-semeval2012-nell with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="research-backup/relbert-roberta-large-nce-e-semeval2012-nell")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("research-backup/relbert-roberta-large-nce-e-semeval2012-nell") model = AutoModel.from_pretrained("research-backup/relbert-roberta-large-nce-e-semeval2012-nell", device_map="auto")
https://huggingface.co/research-backup/relbert-roberta-large-nce-e-semeval2012-nell/resolve/main/relation_mapping.json
hf download hf://research-backup/relbert-roberta-large-nce-e-semeval2012-nell/relation_mapping.json
curl -L -o relation_mapping.json https://huggingface.co/research-backup/relbert-roberta-large-nce-e-semeval2012-nell/resolve/main/relation_mapping.json
