Beginner Explanation
Technical Explanation
Academic Context
Code Examples
Example 1:
We implement transformers using PyTorch:Example 2:
import torch
from torch import nnExample 3:
class Transformer(nn.Module):
def __init__(self, hidden_dim):
super().__init__()
self.linear = nn.Linear(hidden_dim, hidden_dim)Example 4:
This approach achieves SOTA results.Example 5:
import torch
from torch import nn
class Transformer(nn.Module):
def __init__(self, hidden_dim):Example 6:
from torch import nn
class Transformer(nn.Module):
def __init__(self, hidden_dim):
super().__init__()Example 7:
class Transformer(nn.Module):
def __init__(self, hidden_dim):
super().__init__()
self.linear = nn.Linear(hidden_dim, hidden_dim)
Example 8:
def __init__(self, hidden_dim):
super().__init__()
self.linear = nn.Linear(hidden_dim, hidden_dim)
This approach achieves SOTA results.View Source: https://arxiv.org/abs/test.2024.67890