Instructions to use dbmdz/bert-base-finnish-europeana-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbmdz/bert-base-finnish-europeana-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbmdz/bert-base-finnish-europeana-cased")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-finnish-europeana-cased") model = AutoModelForMaskedLM.from_pretrained("dbmdz/bert-base-finnish-europeana-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
fix language code
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by davanstrien HF Staff - opened
README.md
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# Historic Language Models (HLMs)
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TensorFlow Research Cloud (TFRC). Many thanks for providing access to the TRC ❤️
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Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team,
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it is possible to download both cased and uncased models from their S3 storage 🤗
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# Historic Language Models (HLMs)
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TensorFlow Research Cloud (TFRC). Many thanks for providing access to the TRC ❤️
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Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team,
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it is possible to download both cased and uncased models from their S3 storage 🤗
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