Instructions to use TurkuNLP/bert-base-finnish-cased-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TurkuNLP/bert-base-finnish-cased-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="TurkuNLP/bert-base-finnish-cased-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("TurkuNLP/bert-base-finnish-cased-v1") model = AutoModelForMaskedLM.from_pretrained("TurkuNLP/bert-base-finnish-cased-v1", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Update tokenizer_config.json (#2)
Browse files- Update tokenizer_config.json (660a74f1a647c3f30111454bedad23b85c886603)
Co-authored-by: Lysandre <lysandre@users.noreply.huggingface.co>
- tokenizer_config.json +2 -1
tokenizer_config.json
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{
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"do_lower_case": false
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}
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{
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"do_lower_case": false,
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"model_max_length": 512
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}
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