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Update model metadata to set pipeline tag to the new `text-ranking` and library name to `sentence-transformers`
Verified signatureHello! ## Pull Request overview * Update metadata to set pipeline tag to the new `text-ranking` * Update metadata to set library name to `sentence-transformers` ## Changes This is an automated pull request to update the metadata of the model card. We recently introduced the [`text-ranking`](https://huggingface.co/models?pipeline_tag=text-ranking) pipeline tag for models that are used for ranking tasks, and we have a suspicion that this model is one of them. I also updated added metadata to specify that this model can be loaded with the `sentence-transformers` library, as it should be possible to load any model compatible with `transformers` `AutoModelForSequenceClassification`. Feel free to verify that it works with the following: ```bash pip install sentence-transformers ``` ```python from sentence_transformers import CrossEncoder model = CrossEncoder("deepset/gbert-base-germandpr-reranking") scores = model.predict([ ("How many people live in Berlin?", "Berlin had a populati…0c7f62d
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Update README.md
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (a640694ffa4da290a0357a611981bbdb09e2a5c9) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>9a87f09
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Update README.md
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Converted FARM model to transformers
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FARM model converted to transformers
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First version of the gbert-base-germandpr-reranking model and tokenizer.
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Create README.md
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initial commit
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