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**Describe the bug**
```
import torch
import timm
model = timm.create_model('tf_efficientnetv2_b0').cuda().eval()
images = torch.rand(1, 3, 128, 128).cuda()
jit_traced_model = torch.jit.trace(…
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Is there any plan to include the EfficientNetV2 networks (such us those available with torchvision>=0.13) among the encoders?
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```
julia> using Metalhead, CUDA, Flux
julia> model = EfficientNetv2(:small; pretrain=false, inchannels=1, nclasses=2);
julia> batch = rand(Float32, 224, 224, 1, 1);
julia> model(batch)
2×1…
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## Background
- time 라이브러리 내의 추가적인 pre-trained model들 중 efficientNet 관련 모델들을 추가적으로 실험해봅니다.
## Model List
- efficientnet_el
- ~~efficientnet_el_pruned~~
- ~~efficientnet_em~~
- efficientnet_es
…
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### 🐛 Describe the bug
I'm trying to export timm models using torch._dynamo to make use of the graph, but it is failing for most of the networks.
import torch; import timm
import torch._dynamo as…
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### 🐛 Describe the bug
All EfficientNet B0-B7 models are returning an invalid hash when downloaded, tested locally and in Google Colab. The below examples are for B2, but this is happening for B0-B7.…
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Hi
can you share file or inform me to generate:
coral_reef_classifier_efficientnetv2_full_epoch_200_1_batchsize_32_combined_annotations_about_40k_png_only_remapped_majority_class_with_3k_to_4k_…
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I followed all the instructions to train a model (specifically the EN-V2-S) for an Island Conservation project.
It correctly detects my dataset and goes to next step of downloading the .h5 file but …
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First of all: thanks for building this awesome repo! This is really helpful. I am running a training with the default settings, except for `N_SAMPLES=35000`. At some point during stage 1/3, the accura…
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**System information**.
- Have I written custom code (as opposed to using a stock example script provided in Keras): Yes
- OS Platform and Distribution (e.g., Linux Ubuntu 16.04): MacOS
- TensorFlo…