Instructions to use relbert/relbert-roberta-large-nce-semeval2012-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-large-nce-semeval2012-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-large-nce-semeval2012-2")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-large-nce-semeval2012-2") model = AutoModel.from_pretrained("relbert/relbert-roberta-large-nce-semeval2012-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a0a947300c7f3588e21333d71fd02056c3cc27417a3799ab17b2aee53665ba70
- Size of remote file:
- 1.42 GB
- SHA256:
- 2625a24982aa7546e5d7c5bb28293ef3adbfdf6393b31806150e3ba3272c8759
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