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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cd54606c63dc7f845d51eaa2bc8fd0e639e0a8bd6739d252a2af0f3b8f27227
- Size of remote file:
- 440 MB
- SHA256:
- 4ab80f09dcbfd7364d14f9c9e9a17f754c54a09c129509bb1ca8b1045ff651b4
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