
# this model is derrived from

```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]

model = SentenceTransformer('sentence-transformers/stsb-roberta-base-v2')
embeddings = model.encode(sentences)
print(embeddings)
```

# You need to have ibm-fms installed:
https://github.com/foundation-model-stack/foundation-model-stack/issues/169
{"license": "apache-2.0", "tags": ["sentence-transformers", "feature-extraction", "sentence-similarity", "transformers"], "pipeline_tag": "sentence-similarity"}
sentence-transformers pytorch roberta-custom feature-extraction sentence-similarity transformers custom_code license:apache-2.0 endpoints_compatible region:us