Instructions to use claudios/cubert-20210711-Java-1024 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/cubert-20210711-Java-1024 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/cubert-20210711-Java-1024")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("claudios/cubert-20210711-Java-1024") model = AutoModelForPreTraining.from_pretrained("claudios/cubert-20210711-Java-1024") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- efd31e04ec1a5ad4e6b288ef06d913f3f48413f7ab1dcb718d868a9a1d0b6533
- Size of remote file:
- 1.43 GB
- SHA256:
- 65efe353cc170693ff697103c180007a1c63262ecb8cff1549ef1289fcc5d35a
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