From 498d06e9140ca321a06b118f9ba60062572742b9 Mon Sep 17 00:00:00 2001 From: Stefan Schweter Date: Tue, 11 Feb 2020 16:49:39 +0100 Subject: [PATCH] [model_cards] Add new German Europeana BERT models (#2805) * [model_cards] New German Europeana BERT models from dbmdz * [model_cards] Update German Europeana BERT models from dbmdz --- .../README.md | 61 +++++++++++++++++++ .../README.md | 61 +++++++++++++++++++ 2 files changed, 122 insertions(+) create mode 100644 model_cards/dbmdz/bert-base-german-europeana-cased/README.md create mode 100644 model_cards/dbmdz/bert-base-german-europeana-uncased/README.md diff --git a/model_cards/dbmdz/bert-base-german-europeana-cased/README.md b/model_cards/dbmdz/bert-base-german-europeana-cased/README.md new file mode 100644 index 0000000000..c90f62a2b9 --- /dev/null +++ b/model_cards/dbmdz/bert-base-german-europeana-cased/README.md @@ -0,0 +1,61 @@ +--- +language: german +tags: + - "historic german" +--- + +# 🤗 + 📚 dbmdz BERT models + +In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State +Library open sources German Europeana BERT models 🎉 + +# German Europeana BERT + +We use the open source [Europeana newspapers](http://www.europeana-newspapers.eu/) +that were provided by *The European Library*. The final +training corpus has a size of 51GB and consists of 8,035,986,369 tokens. + +Detailed information about the data and pretraining steps can be found in +[this repository](https://github.com/stefan-it/europeana-bert). + +## Model weights + +Currently only PyTorch-[Transformers](https://github.com/huggingface/transformers) +compatible weights are available. If you need access to TensorFlow checkpoints, +please raise an issue! + +| Model | Downloads +| ------------------------------------------ | --------------------------------------------------------------------------------------------------------------- +| `dbmdz/bert-base-german-europeana-cased` | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-cased/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-cased/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-cased/vocab.txt) + +## Results + +For results on Historic NER, please refer to [this repository](https://github.com/stefan-it/europeana-bert). + +## Usage + +With Transformers >= 2.3 our German Europeana BERT models can be loaded like: + +```python +from transformers import AutoModel, AutoTokenizer + +tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-europeana-cased") +model = AutoModel.from_pretrained("dbmdz/bert-base-german-europeana-cased") +``` + +# Huggingface model hub + +All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz). + +# Contact (Bugs, Feedback, Contribution and more) + +For questions about our BERT models just open an issue +[here](https://github.com/dbmdz/berts/issues/new) 🤗 + +# Acknowledgments + +Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC). +Thanks for providing access to the TFRC ❤️ + +Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team, +it is possible to download both cased and uncased models from their S3 storage 🤗 diff --git a/model_cards/dbmdz/bert-base-german-europeana-uncased/README.md b/model_cards/dbmdz/bert-base-german-europeana-uncased/README.md new file mode 100644 index 0000000000..e1aafc72e0 --- /dev/null +++ b/model_cards/dbmdz/bert-base-german-europeana-uncased/README.md @@ -0,0 +1,61 @@ +--- +language: german +tags: + - "historic german" +--- + +# 🤗 + 📚 dbmdz BERT models + +In this repository the MDZ Digital Library team (dbmdz) at the Bavarian State +Library open sources German Europeana BERT models 🎉 + +# German Europeana BERT + +We use the open source [Europeana newspapers](http://www.europeana-newspapers.eu/) +that were provided by *The European Library*. The final +training corpus has a size of 51GB and consists of 8,035,986,369 tokens. + +Detailed information about the data and pretraining steps can be found in +[this repository](https://github.com/stefan-it/europeana-bert). + +## Model weights + +Currently only PyTorch-[Transformers](https://github.com/huggingface/transformers) +compatible weights are available. If you need access to TensorFlow checkpoints, +please raise an issue! + +| Model | Downloads +| ------------------------------------------ | --------------------------------------------------------------------------------------------------------------- +| `dbmdz/bert-base-german-europeana-uncased` | [`config.json`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-uncased/config.json) • [`pytorch_model.bin`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-uncased/pytorch_model.bin) • [`vocab.txt`](https://cdn.huggingface.co/dbmdz/bert-base-german-europeana-uncased/vocab.txt) + +## Results + +For results on Historic NER, please refer to [this repository](https://github.com/stefan-it/europeana-bert). + +## Usage + +With Transformers >= 2.3 our German Europeana BERT models can be loaded like: + +```python +from transformers import AutoModel, AutoTokenizer + +tokenizer = AutoTokenizer.from_pretrained("dbmdz/bert-base-german-europeana-uncased") +model = AutoModel.from_pretrained("dbmdz/bert-base-german-europeana-uncased") +``` + +# Huggingface model hub + +All models are available on the [Huggingface model hub](https://huggingface.co/dbmdz). + +# Contact (Bugs, Feedback, Contribution and more) + +For questions about our BERT models just open an issue +[here](https://github.com/dbmdz/berts/issues/new) 🤗 + +# Acknowledgments + +Research supported with Cloud TPUs from Google's TensorFlow Research Cloud (TFRC). +Thanks for providing access to the TFRC ❤️ + +Thanks to the generous support from the [Hugging Face](https://huggingface.co/) team, +it is possible to download both cased and uncased models from their S3 storage 🤗