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### System Info
- `transformers` version: 4.44.2
- Platform: Linux-6.8.0-40-generic-x86_64-with-glibc2.35
- Python version: 3.10.12
- Huggingface_hub version: 0.24.6
- Safetensors version: 0.…
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Take neural network weights and encode them through another neural network to a N-component transformation (similar to PCA). I also want the model to be able to go from an N-component to full weights …
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# Variational Auto Encoder - 안민용's Blog
Taking a look at variational auto encoder in deeper.
[https://alsdyd98.github.io/Variational-Auto-Encoder.html](https://alsdyd98.github.io/Variational-Auto-En…
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Can you please tell me how can we use this loss for auto-encoder network?
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I guess we need to dig into the methods in adnn.
For some background, I'm writing typescript wrapper on top of autoencoder [ref 1] and adnn [ref 2]
ref 1: https://github.com/beenotung/auto-encod…
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Let's look at the code directly:
```python
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("all-MiniLM-L6-v2").to('cpu').eval()
model.encode(['test'], convert…
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There is a proper way to develop an auto encoder architecture network with subnetwork?
I tried to figure out how to generate subnetwork modules that will build a symmetric vanilla auto encoder archit…
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# Variational Auto Encoder - 안민용's Blog
Taking a look at variational auto encoder in deeper.
[https://alsdyd98.github.io/Variational-Auto-Encoder-copy.html](https://alsdyd98.github.io/Variational-Au…
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Hi,
I'm trying to build a variational auto-encoder. I want to create a layer that sampling the inputs from previous layer. Here's my implementation.
`from neon.layers.layer import Layer, interpr…
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## background
My question is about executing encoder-decoder models with onnx genai runtime. My goal is to convert the DONUT transformer https://arxiv.org/abs/2111.15664, a sequence-to-sequence tra…