Instructions to use marquesafonso/albertina-sts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use marquesafonso/albertina-sts with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("marquesafonso/albertina-sts") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Transformers
How to use marquesafonso/albertina-sts with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("marquesafonso/albertina-sts") model = AutoModel.from_pretrained("marquesafonso/albertina-sts") - Notebooks
- Google Colab
- Kaggle
Add exported onnx model 'model.onnx'
Browse filesHello!
*This pull request has been automatically generated from the [Sentence Transformers backend-export](https://huggingface.co/spaces/sentence-transformers/backend-export) Space.*
## Pull Request overview
* Add exported ONNX model `model.onnx`.
## Tip:
Consider testing this pull request before merging by loading the model from this PR with the `revision` argument:
```python
from sentence_transformers import SentenceTransformer
# TODO: Fill in the PR number
pr_number = 2
model = SentenceTransformer(
"marquesafonso/albertina-sts",
revision=f"refs/pr/{pr_number}",
backend="onnx",
)
# Verify that everything works as expected
embeddings = model.encode(["The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium."])
print(embeddings.shape)
similarities = model.similarity(embeddings, embeddings)
print(similarities)
```
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