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
README.md
CHANGED
|
@@ -7,6 +7,7 @@ tags:
|
|
| 7 |
base_model: robzchhangte/MizBERT
|
| 8 |
pipeline_tag: sentence-similarity
|
| 9 |
license: apache-2.0
|
|
|
|
| 10 |
---
|
| 11 |
|
| 12 |
# MizoEmbed-1
|
|
|
|
| 7 |
base_model: robzchhangte/MizBERT
|
| 8 |
pipeline_tag: sentence-similarity
|
| 9 |
license: apache-2.0
|
| 10 |
+
language: lus
|
| 11 |
---
|
| 12 |
|
| 13 |
# MizoEmbed-1
|