Instructions to use claudios/cubert-20210711-Java-2048 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/cubert-20210711-Java-2048 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/cubert-20210711-Java-2048")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("claudios/cubert-20210711-Java-2048") model = AutoModelForPreTraining.from_pretrained("claudios/cubert-20210711-Java-2048") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 052866db30a45dc38c1057efbf5a89fc14463d6b6d1c0a0a1abe58c3c50c78c6
- Size of remote file:
- 1.43 GB
- SHA256:
- d13a1b318069879d24a6eb7063296f620965dd0814a4e08602c7c970bedad9a4
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