Sentence Similarity
sentence-transformers
Safetensors
xlm-roberta
feature-extraction
text-embeddings-inference
Instructions to use Blablablab/multilingual-style-representation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Blablablab/multilingual-style-representation with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Blablablab/multilingual-style-representation") 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] - Notebooks
- Google Colab
- Kaggle
License clarification for multilingual-style-representation model weights
#1
by hellthroaster - opened
Hi,
I’m interested in using Blablablab/multilingual-style-representation in a commercial SaaS product. I noticed that the base model, FacebookAI/xlm-roberta-large, is MIT-licensed, but I couldn’t find an explicit license for the fine-tuned model weights in this repository.
Could you clarify under which license the fine-tuned model weights are released?
Specifically, I’d like to know whether commercial use is permitted, including use inside a hosted API/SaaS product.
If the intended license is MIT, Apache-2.0, CC-BY, or another license, would you consider adding it to the Hugging Face model metadata and/or adding a LICENSE file to the repository?
Thanks.