Spaces:
Running
import mmap
Browse filesimport torch
import json
import os
from huggingface_hub import hf_hub_download
def load_file(filename, device):
with open(filename, mode="r", encoding="utf8") as file_obj:
with mmap.mmap(file_obj.fileno(), length=0, access=mmap.ACCESS_READ) as m:
header = m.read(8)
n = int.from_bytes(header, "little")
metadata_bytes = m.read(n)
metadata = json.loads(metadata_bytes)
size = os.stat(filename).st_size
storage = torch.ByteStorage.from_file(filename, shared=False, size=size).untyped()
offset = n + 8
return {name: create_tensor(storage, info, offset) for name, info in metadata.items() if name != "__metadata__"}
DTYPES = {"F32": torch.float32}
device = "cpu"
def create_tensor(storage, info, offset):
dtype = DTYPES[info["dtype"]]
shape = info["shape"]
start, stop = info["data_offsets"]
return torch.asarray(storage[start + offset : stop + offset], dtype=torch.uint8).view(dtype=dtype).reshape(shape)
def main():
filename = hf_hub_download("gpt2", filename="model.safetensors")
weights = load_file(filename, device)
print(weights.keys())
if __name__ == "__main__":
main()
- README.md +6 -3
- index.html +333 -18
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---
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title:
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emoji: 🔥
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colorFrom: gray
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colorTo: gray
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sdk: static
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pinned: false
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---
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---
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title: NeuronNet Explorer 🌐
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colorFrom: gray
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colorTo: gray
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emoji: 🐳
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sdk: static
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pinned: false
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tags:
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- deepsite-v3
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---
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# Welcome to your new DeepSite project!
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This project was created with [DeepSite](https://deepsite.hf.co).
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| 19 |
</html>
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| 1 |
+
<!DOCTYPE html>
|
| 2 |
+
<html lang="en" class="dark">
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<head>
|
| 4 |
+
<meta charset="UTF-8">
|
| 5 |
+
<meta name="viewport" content="width=device-width, initial-scale=1.0">
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| 6 |
+
<title>NeuronNet Explorer - AI Model Analysis</title>
|
| 7 |
+
<script src="https://cdn.tailwindcss.com"></script>
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| 8 |
+
<script src="https://unpkg.com/feather-icons"></script>
|
| 9 |
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<script src="https://cdn.jsdelivr.net/npm/feather-icons/dist/feather.min.js"></script>
|
| 10 |
+
<script>
|
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+
tailwind.config = {
|
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darkMode: 'class',
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+
theme: {
|
| 14 |
+
extend: {
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| 15 |
+
colors: {
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primary: {
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50: '#eef2ff',
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100: '#e0e7ff',
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+
200: '#c7d2fe',
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300: '#a5b4fc',
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400: '#818cf8',
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500: '#6366f1',
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600: '#4f46e5',
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700: '#4338ca',
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800: '#3730a3',
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+
900: '#312e81',
|
| 27 |
+
},
|
| 28 |
+
secondary: {
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| 29 |
+
50: '#ecfdf5',
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| 30 |
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100: '#d1fae5',
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+
200: '#a7f3d0',
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+
300: '#6ee7b7',
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400: '#34d399',
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500: '#10b981',
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600: '#059669',
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700: '#047857',
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800: '#065f46',
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900: '#064e3b',
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}
|
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+
}
|
| 41 |
+
}
|
| 42 |
+
}
|
| 43 |
+
}
|
| 44 |
+
</script>
|
| 45 |
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<style>
|
| 46 |
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.gradient-bg {
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| 47 |
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background: linear-gradient(135deg, #1e1b4b 0%, #312e81 50%, #064e3b 100%);
|
| 48 |
+
}
|
| 49 |
+
.neuron-glow {
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| 50 |
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box-shadow: 0 0 20px rgba(99, 102, 241, 0.3);
|
| 51 |
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}
|
| 52 |
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.pulse-animation {
|
| 53 |
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animation: pulse 2s infinite;
|
| 54 |
+
}
|
| 55 |
+
@keyframes pulse {
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| 56 |
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0%, 100% { opacity: 1; }
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| 57 |
+
50% { opacity: 0.7; }
|
| 58 |
+
}
|
| 59 |
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</style>
|
| 60 |
+
</head>
|
| 61 |
+
<body class="bg-gray-900 text-white font-sans">
|
| 62 |
+
<!-- Navigation -->
|
| 63 |
+
<nav class="bg-gray-800/80 backdrop-blur-md fixed w-full z-50">
|
| 64 |
+
<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
|
| 65 |
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<div class="flex items-center justify-between h-16">
|
| 66 |
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<div class="flex items-center">
|
| 67 |
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<div class="flex-shrink-0">
|
| 68 |
+
<h1 class="text-xl font-bold text-white">NeuronNet Explorer</h1>
|
| 69 |
+
</div>
|
| 70 |
+
<div class="hidden md:block">
|
| 71 |
+
<div class="ml-10 flex items-baseline space-x-4">
|
| 72 |
+
<a href="#" class="text-primary-300 hover:text-white px-3 py-2 rounded-md text-sm font-medium">Dashboard</a>
|
| 73 |
+
<a href="#" class="text-gray-300 hover:text-white px-3 py-2 rounded-md text-sm font-medium">Models</a>
|
| 74 |
+
<a href="#" class="text-gray-300 hover:text-white px-3 py-2 rounded-md text-sm font-medium">Analytics</a>
|
| 75 |
+
<a href="#" class="text-gray-300 hover:text-white px-3 py-2 rounded-md text-sm font-medium">Documentation</a>
|
| 76 |
+
</div>
|
| 77 |
+
</div>
|
| 78 |
+
</div>
|
| 79 |
+
<div class="flex items-center space-x-4">
|
| 80 |
+
<button class="bg-primary-600 hover:bg-primary-700 px-4 py-2 rounded-md text-sm font-medium">
|
| 81 |
+
Upload Model
|
| 82 |
+
</button>
|
| 83 |
+
<div class="md:hidden">
|
| 84 |
+
<button type="button" class="text-gray-400 hover:text-white">
|
| 85 |
+
<i data-feather="menu"></i>
|
| 86 |
+
</button>
|
| 87 |
+
</div>
|
| 88 |
+
</div>
|
| 89 |
+
</div>
|
| 90 |
+
</div>
|
| 91 |
+
</nav>
|
| 92 |
+
|
| 93 |
+
<!-- Hero Section -->
|
| 94 |
+
<section class="gradient-bg pt-24 pb-32">
|
| 95 |
+
<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
|
| 96 |
+
<div class="text-center">
|
| 97 |
+
<h1 class="text-4xl md:text-6xl font-bold mb-6">
|
| 98 |
+
Explore Neural Networks
|
| 99 |
+
<span class="text-secondary-400">with Precision</span>
|
| 100 |
+
</h1>
|
| 101 |
+
<p class="text-xl text-gray-300 mb-8 max-w-3xl mx-auto">
|
| 102 |
+
Visualize, analyze, and understand your AI models with our advanced neural network explorer.
|
| 103 |
+
Dive deep into model architectures and weights with unprecedented clarity.
|
| 104 |
+
</p>
|
| 105 |
+
<div class="flex flex-col sm:flex-row gap-4 justify-center">
|
| 106 |
+
<button class="bg-primary-600 hover:bg-primary-700 px-8 py-3 rounded-lg font-semibold text-lg transition duration-300">
|
| 107 |
+
<i data-feather="play" class="inline w-5 h-5 mr-2"></i>
|
| 108 |
+
Load Model
|
| 109 |
+
</button>
|
| 110 |
+
<button class="border border-primary-400 text-primary-300 hover:bg-primary-900 px-8 py-3 rounded-lg font-semibold text-lg transition duration-300">
|
| 111 |
+
View Documentation
|
| 112 |
+
</button>
|
| 113 |
+
</div>
|
| 114 |
+
</div>
|
| 115 |
+
</div>
|
| 116 |
+
</section>
|
| 117 |
+
|
| 118 |
+
<!-- Features Section -->
|
| 119 |
+
<section class="py-20 bg-gray-800">
|
| 120 |
+
<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
|
| 121 |
+
<div class="text-center mb-16">
|
| 122 |
+
<h2 class="text-3xl md:text-4xl font-bold mb-4">Advanced Model Analysis</h2>
|
| 123 |
+
<p class="text-gray-400 text-lg">Powerful tools for understanding your AI models</p>
|
| 124 |
+
</div>
|
| 125 |
+
|
| 126 |
+
<div class="grid grid-cols-1 md:grid-cols-3 gap-8">
|
| 127 |
+
<!-- Feature 1 -->
|
| 128 |
+
<div class="bg-gray-700/50 rounded-xl p-6 neuron-glow hover:transform hover:scale-105 transition duration-300">
|
| 129 |
+
<div class="w-12 h-12 bg-primary-600 rounded-lg flex items-center justify-center mb-4">
|
| 130 |
+
<i data-feather="layers" class="w-6 h-6"></i>
|
| 131 |
+
</div>
|
| 132 |
+
<h3 class="text-xl font-semibold mb-3">Layer Visualization</h3>
|
| 133 |
+
<p class="text-gray-300">
|
| 134 |
+
Visualize every layer of your neural network with interactive 3D representations
|
| 135 |
+
and comprehensive weight analysis.
|
| 136 |
+
</p>
|
| 137 |
+
</div>
|
| 138 |
+
|
| 139 |
+
<!-- Feature 2 -->
|
| 140 |
+
<div class="bg-gray-700/50 rounded-xl p-6 neuron-glow hover:transform hover:scale-105 transition duration-300">
|
| 141 |
+
<div class="w-12 h-12 bg-secondary-600 rounded-lg flex items-center justify-center mb-4">
|
| 142 |
+
<i data-feather="activity" class="w-6 h-6"></i>
|
| 143 |
+
</div>
|
| 144 |
+
<h3 class="text-xl font-semibold mb-3">Real-time Analytics</h3>
|
| 145 |
+
<p class="text-gray-300">
|
| 146 |
+
Monitor model performance in real-time with detailed metrics,
|
| 147 |
+
activation patterns, and gradient flow visualization.
|
| 148 |
+
</p>
|
| 149 |
+
</div>
|
| 150 |
+
|
| 151 |
+
<!-- Feature 3 -->
|
| 152 |
+
<div class="bg-gray-700/50 rounded-xl p-6 neuron-glow hover:transform hover:scale-105 transition duration-300">
|
| 153 |
+
<div class="w-12 h-12 bg-primary-600 rounded-lg flex items-center justify-center mb-4">
|
| 154 |
+
<i data-feather="code" class="w-6 h-6"></i>
|
| 155 |
+
</div>
|
| 156 |
+
<h3 class="text-xl font-semibold mb-3">Code Integration</h3>
|
| 157 |
+
<p class="text-gray-300">
|
| 158 |
+
Seamlessly integrate with your Python workflow. Load models directly from
|
| 159 |
+
Hugging Face, PyTorch, or TensorFlow.
|
| 160 |
+
</p>
|
| 161 |
+
</div>
|
| 162 |
+
</div>
|
| 163 |
+
</div>
|
| 164 |
+
</section>
|
| 165 |
+
|
| 166 |
+
<!-- Model Showcase -->
|
| 167 |
+
<section class="py-20 bg-gray-900">
|
| 168 |
+
<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
|
| 169 |
+
<div class="grid grid-cols-1 lg:grid-cols-2 gap-12 items-center">
|
| 170 |
+
<div>
|
| 171 |
+
<h2 class="text-3xl md:text-4xl font-bold mb-6">Load & Analyze Any Model</h2>
|
| 172 |
+
<p class="text-gray-400 text-lg mb-8">
|
| 173 |
+
Our platform supports multiple model formats including SafeTensors,
|
| 174 |
+
PyTorch checkpoints, and Hugging Face models. Get detailed insights
|
| 175 |
+
into model architecture and weights.
|
| 176 |
+
</p>
|
| 177 |
+
|
| 178 |
+
<div class="space-y-4">
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<pre class="text-sm text-gray-300 overflow-x-auto">
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<span class="text-green-400">import</span> mmap
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<span class="text-green-400">import</span> torch
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<span class="text-green-400">from</span> huggingface_hub <span class="text-green-400">import</span> hf_hub_download
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<span class="text-blue-400">def</span> <span class="text-yellow-400">load_model</span>():
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filename = hf_hub_download(<span class="text-orange-400">"gpt2"</span>,
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filename=<span class="text-orange-400">"model.safetensors"</span>)
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weights = load_file(filename, <span class="text-orange-400">"cpu"</span>)
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<span class="text-green-400">return</span> weights
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<span class="text-gray-600"># Model loaded successfully</span>
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<span class="text-gray-600"># Analyzing 124M parameters...</span></pre>
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<div class="text-3xl md:text-4xl font-bold text-primary-400 mb-2">124M+</div>
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<div class="text-gray-400">Parameters Analyzed</div>
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<div class="p-6">
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<div class="text-3xl md:text-4xl font-bold text-secondary-400 mb-2">50K+</div>
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<div class="text-gray-400">Models Processed</div>
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<div class="p-6">
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<div class="text-3xl md:text-4xl font-bold text-primary-400 mb-2">99.9%</div>
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