Sentence Similarity
sentence-transformers
PyTorch
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use embaas/sentence-transformers-multilingual-e5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use embaas/sentence-transformers-multilingual-e5-base with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("embaas/sentence-transformers-multilingual-e5-base") 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] - Inference
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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You can use the [embaas API](https://embaas.io) to encode your input. Get your free API key from [embaas.io](https://embaas.io)
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import requests
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url = "https://api.embaas.io/v1/embeddings/"
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response = requests.post(url, json=data, headers=headers)
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## Evaluation Results
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You can use the [embaas API](https://embaas.io) to encode your input. Get your free API key from [embaas.io](https://embaas.io)
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```python
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import requests
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url = "https://api.embaas.io/v1/embeddings/"
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}
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response = requests.post(url, json=data, headers=headers)
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```
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## Evaluation Results
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