Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
text-embeddings-inference
Instructions to use sarkii/MizoEmbed-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use sarkii/MizoEmbed-1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sarkii/MizoEmbed-1") 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
Set language to "lus" for Lushai
#2
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Set the language tag for easier discoverability
Details
Apologies if this is incorrect, but I believe Mizo has the lus ISO code (https://en.wikipedia.org/wiki/Mizo_language), short for Lushai. I believe if we set language: lus, then this model will show up under https://huggingface.co/models?library=sentence-transformers&language=lus&sort=trending when people filter for Lushai.
Congratulations on the release!
- Tom Aarsen