Instructions to use relbert/relbert-roberta-base-nce-conceptnet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-base-nce-conceptnet with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base-nce-conceptnet")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base-nce-conceptnet") model = AutoModel.from_pretrained("relbert/relbert-roberta-base-nce-conceptnet") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e62b9c6b8bcccdc72aa62f6ab6437e22dfb3c618fa9b8fd701964f279e1cc41
- Size of remote file:
- 499 MB
- SHA256:
- 3bec9c3c4f1489f132732964f9e6a2b0f3acb4f6855efd31b98ca8ad397857be
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