Instructions to use claudios/JavaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/JavaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="claudios/JavaBERT")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("claudios/JavaBERT") model = AutoModel.from_pretrained("claudios/JavaBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 32606a596b1ac565192cca2120483926bef999fdcc9d55c8c8fbf74379f513ed
- Size of remote file:
- 438 MB
- SHA256:
- add76cbedc8030f37cc3ae1e69d33dbc9c32d7d123ba137cc6424a59046a8be3
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