and-effect
/

musterdatenkatalog_clf

Sentence Similarity

sentence-transformers

Eval Results (legacy)

text-embeddings-inference

Model card Files Files and versions

Rahka commited on Jun 7, 2023

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 ## Model Sources
-- **Repository**:
 - **Demo**: [Spaces App](https://huggingface.co/spaces/and-effect/Musterdatenkatalog)
 This model is based on [bert-base-german-cased](https://huggingface.co/bert-base-cased) and fine-tuned on [and-effect/mdk_gov_data_titles_clf](https://huggingface.co/datasets/and-effect/mdk_gov_data_titles_clf). The model was created as part of the [Bertelsmann Foundation's Musterdatenkatalog (MDK)](https://www.bertelsmann-stiftung.de/de/unsere-projekte/smart-country/musterdatenkatalog) project. The model is intended to classify open source dataset titles from german municipalities. This can help municipalities in Germany, as well as data analysts and journalists, to see which cities have already published data sets and what might be missing. The model is specifically tailored for this task and uses a specific taxonomy. It thus has a clear intended downstream task and should be used with the mentioned taxonomy.

 ## Model Sources
+- **Repository**: https://github.com/bertelsmannstift/Musterdatenkatalog-V4
 - **Demo**: [Spaces App](https://huggingface.co/spaces/and-effect/Musterdatenkatalog)
 This model is based on [bert-base-german-cased](https://huggingface.co/bert-base-cased) and fine-tuned on [and-effect/mdk_gov_data_titles_clf](https://huggingface.co/datasets/and-effect/mdk_gov_data_titles_clf). The model was created as part of the [Bertelsmann Foundation's Musterdatenkatalog (MDK)](https://www.bertelsmann-stiftung.de/de/unsere-projekte/smart-country/musterdatenkatalog) project. The model is intended to classify open source dataset titles from german municipalities. This can help municipalities in Germany, as well as data analysts and journalists, to see which cities have already published data sets and what might be missing. The model is specifically tailored for this task and uses a specific taxonomy. It thus has a clear intended downstream task and should be used with the mentioned taxonomy.