Sentence Similarity
Model2Vec
Safetensors
Russian
English
multilingual
static-embeddings
quantized
int8
8-bit precision
Instructions to use 777Radik/potion-multilingual-128M-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use 777Radik/potion-multilingual-128M-int8 with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("777Radik/potion-multilingual-128M-int8") - Notebooks
- Google Colab
- Kaggle
| [ | |
| { | |
| "idx": 0, | |
| "name": "0", | |
| "path": ".", | |
| "type": "sentence_transformers.models.StaticEmbedding" | |
| }, | |
| { | |
| "idx": 1, | |
| "name": "1", | |
| "path": "1_Normalize", | |
| "type": "sentence_transformers.models.Normalize" | |
| } | |
| ] |