Instructions to use SAP/RoBERTa-base-SCD-ACL2022 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SAP/RoBERTa-base-SCD-ACL2022 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="SAP/RoBERTa-base-SCD-ACL2022")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("SAP/RoBERTa-base-SCD-ACL2022") model = AutoModel.from_pretrained("SAP/RoBERTa-base-SCD-ACL2022", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 023a1e6446bed258bd8da95aeb8ac4b125278957e2cf19f61aa19c92c9bdebbb
- Size of remote file:
- 499 MB
- SHA256:
- 68a27def0970e418c2710eef34c12ced7247051a2baa6131d3a520569b847ff5
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