Hello!
## 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("intfloat/simlm-msmarco-reranker")
scores = model.predict([
("How many people live in Berlin?", "Berlin had a population of 3…
