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**Combine neural nets with statistical models**
Some papers/competitions have shown that combining statistical models with neural networks can increase accuracy. An example is the winner of the M4-co…
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# Christian Mills - Testing Intel’s Arc A770 GPU for Deep Learning Pt. 3
This post covers my findings from training style transfer models and running Stable Diffusion with the 🤗 Diffusers library on …
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**Key Objectives:**
Model Architectures: We aim to provide a diverse set of state-of-the-art computer vision model architectures in PyTorch, covering tasks like image classification, object detecti…
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ub16c9@ub16c9-gpu:/media/ub16c9/fcd84300-9270-4bbd-896a-5e04e79203b7/ub16_prj/naacl_transfer_learning_tutorial$ python3.6 pretraining_train.py
Traceback (most recent call last):
File "pretraining_…
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This is my setup for transfer learning:
- model: `google/vit-base-patch16-224`: this is the most downloaded and well-known base transformer model.
- dataset: `oxford-iiit pets dataset`: [hf-link](…
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We should add the section, so advanced users can skip certain notebooks / skip to certain sections.
Also rename the section (either "Learning Objectives" or "In this section you'll learn".
| Noteb…
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I tried to train vision encoder images only can you share code compression where my code gives accuracy 50 percent any help please code or experiments details please (training in eye gaze cxr )
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Hi
I am using python 3.6, and I run
python train.py --model_checkpoint pretrained_transformers/gpt --dataset_path datasets/personachat_self_original.json
thanks
INFO:/dev/ccn/generation/transf…
ghost updated
5 years ago
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