Instructions to use SAP/BERT-base-uncased-SCD-ACL2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAP/BERT-base-uncased-SCD-ACL2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SAP/BERT-base-uncased-SCD-ACL2022")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAP/BERT-base-uncased-SCD-ACL2022") model = AutoModel.from_pretrained("SAP/BERT-base-uncased-SCD-ACL2022") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 135ede184227e39b80fdf4798faec44994ce870fa662a4c12db28834df2b06a1
- Size of remote file:
- 438 MB
- SHA256:
- f7e84cdf9ea91450f3f498b48c1e098837eabd64d0b5c47e41722212b193e84a
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