Instructions to use relbert/relbert-roberta-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-large")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-large") model = AutoModel.from_pretrained("relbert/relbert-roberta-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 843873f51c90e7cbb385ddcad6d91b55640137b210d106175cacb9e8211ac5ee
- Size of remote file:
- 1.42 GB
- SHA256:
- c79d7af3d1980ded7543d71be5b6388c5eb4830814dd98006bab178fbca978d0
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