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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from up201806461/bert-java-bfp_combined: direct link, hf CLI and curl.
- Browser
- Download file 669 kB
-
https://huggingface.co/up201806461/bert-java-bfp_combined/resolve/main/tokenizer.json
- Command line
-
hf download hf://up201806461/bert-java-bfp_combined/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/up201806461/bert-java-bfp_combined/resolve/main/tokenizer.json
669 kB
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