Instructions to use nlpaueb/bert-base-uncased-echr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpaueb/bert-base-uncased-echr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpaueb/bert-base-uncased-echr")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlpaueb/bert-base-uncased-echr", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47b0d95ad2791126906c7e61dca6770c6c88a305e050b50d0cfba6344d5f7979
- Size of remote file:
- 438 MB
- SHA256:
- 9d596aedff5ded70148931f7afde118d09b84b4aede1f8f9ec12f22d79ec2410
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