Instructions to use claudios/cubert-20210711-Java-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use claudios/cubert-20210711-Java-512 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="claudios/cubert-20210711-Java-512")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("claudios/cubert-20210711-Java-512") model = AutoModelForPreTraining.from_pretrained("claudios/cubert-20210711-Java-512") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46fcec1dede6a4649e5c4c285066810f9515f47406e5ff482fe73b93d576f350
- Size of remote file:
- 1.42 GB
- SHA256:
- 4b33d0f28ce0576ff541362b56b42c0ad278f978edd5fe0e02a01101098a5a8c
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