HSILA

{
  "dataset_revision": "5377aa18f309ec440ff6325a4c2cd3362c2cb8d7",
  "task_name": "ChemRxivRetrieval",
  "mteb_version": "2.6.8",
  "scores": {
    "test": [
      {
        "ndcg_at_1": 0.625,
        "ndcg_at_3": 0.71766,
        "ndcg_at_5": 0.74022,

HSILA

\documentclass[tikz,border=2pt]{standalone}
\usepackage{amsmath,bm}
\usepackage{tikz}
% \usetikzlibrary{arrows.meta}  % if you need extra arrowheads
\begin{document}
\begin{tikzpicture}
    \node at (0,1.8) (h) {$\longleftarrow\,$Representation$\,\longrightarrow$};
    \node[draw, circle] at (0,-1) (x) {$\bm{x}$};
    \node[draw, circle] at (-2.5,0) (x1) {$\tilde{\bm{x}}_i$};
    \node[draw, circle] at (2.5,0) (x2) {$\tilde{\bm{x}}_j$};

HSILA

import os
import numpy as np
from typing import Any


import torch
import mteb


from transformers import AutoTokenizer

HSILA

import torch
from torch import nn
import onnx
import onnxruntime

a = torch.tensor([12, 0, 5, 154], dtype=torch.float32)

# a.to(torch.bool) = tensor([True, False, True, True])
# ~a.to(torch.bool) = tensor([False, True, False, False])