Instructions to use relbert/relbert-roberta-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use relbert/relbert-roberta-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="relbert/relbert-roberta-base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("relbert/relbert-roberta-base") model = AutoModel.from_pretrained("relbert/relbert-roberta-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cce484f957c177c1342c858f4234fab6477da73e931c09fa4568d129189c0301
- Size of remote file:
- 499 MB
- SHA256:
- c94a92b29ec3435777fd39e26c2ad122e32bb0d45e73dc050bca78cbc525fd26
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