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
Commit ·
68db970
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Parent(s): 56e7850
upload flax model
Browse files- flax_model.msgpack +3 -0
flax_model.msgpack
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version https://git-lfs.github.com/spec/v1
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oid sha256:8b2f345c1921617a7f91bb154086f28dfe0f2b64c3f4acf95e585fa0c7e68469
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size 1340711929
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