Instructions to use nlpaueb/bert-base-uncased-eurlex with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nlpaueb/bert-base-uncased-eurlex with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="nlpaueb/bert-base-uncased-eurlex")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nlpaueb/bert-base-uncased-eurlex", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fcfc10698284e7bcb324a4821be6f4ba9b9b950415170cbfac4093781c714c1f
- Size of remote file:
- 438 MB
- SHA256:
- 4c2e81da4d97a09675d205665e080a5561ce5b947bf333a2e37f9f30a2939938
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