Instructions to use up201806461/bert-java-bfp_single with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use up201806461/bert-java-bfp_single with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="up201806461/bert-java-bfp_single")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("up201806461/bert-java-bfp_single") model = AutoModelForMaskedLM.from_pretrained("up201806461/bert-java-bfp_single", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from up201806461/bert-java-bfp_single: direct link, hf CLI and curl.
- Browser
- Download file 90 Bytes
-
https://huggingface.co/up201806461/bert-java-bfp_single/resolve/main/generation_config.json
- Command line
-
hf download hf://up201806461/bert-java-bfp_single/generation_config.json
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curl -L -o generation_config.json https://huggingface.co/up201806461/bert-java-bfp_single/resolve/main/generation_config.json
90 Bytes
| { | |
| "_from_model_config": true, | |
| "pad_token_id": 0, | |
| "transformers_version": "4.28.1" | |
| } | |