Instructions to use up201806461/bert-java-bfp_combined with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use up201806461/bert-java-bfp_combined with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="up201806461/bert-java-bfp_combined")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("up201806461/bert-java-bfp_combined") model = AutoModelForMaskedLM.from_pretrained("up201806461/bert-java-bfp_combined") - Notebooks
- Google Colab
- Kaggle
File size: 90 Bytes
5b3a420 | 1 2 3 4 5 6 | {
"_from_model_config": true,
"pad_token_id": 0,
"transformers_version": "4.27.4"
}
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