Instructions to use SAP/BERT-Large-Contrastive-Self-Supervised-ACL2020 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAP/BERT-Large-Contrastive-Self-Supervised-ACL2020 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SAP/BERT-Large-Contrastive-Self-Supervised-ACL2020")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SAP/BERT-Large-Contrastive-Self-Supervised-ACL2020") model = AutoModelForMaskedLM.from_pretrained("SAP/BERT-Large-Contrastive-Self-Supervised-ACL2020") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 96089671b3e2897b7597ab49ac138be00c559e4b08b7750a1f1a52096fe77445
- Size of remote file:
- 1.34 GB
- SHA256:
- c35caa786a48a27200a8a2d27024b027c45b187b8e9ce3368f26287e89548eb0
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