Models
Datasets
Spaces
Buckets new
Docs
Enterprise
Pricing
Log In
Sign Up

ihoflaz
/

dibas-efficientnet-b0

Image Classification

efficientnet_b0

medical-imaging

Model card Files Files and versions

Instructions to use ihoflaz/dibas-efficientnet-b0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use ihoflaz/dibas-efficientnet-b0 with timm:

import timm

model = timm.create_model("hf_hub:ihoflaz/dibas-efficientnet-b0", pretrained=True)

Notebooks
Google Colab
Kaggle

dibas-efficientnet-b0

16.5 MB

Ctrl+K

Ctrl+K

1 contributor

History: 5 commits

ihoflaz's picture

Upload README.md with huggingface_hub

bee5b0f verified 5 months ago

.gitattributes

1.52 kB
initial commit 5 months ago
README.md

4.58 kB
Upload README.md with huggingface_hub 5 months ago
config.json

2.94 kB
Upload config.json with huggingface_hub 5 months ago
preprocessor_config.json

305 Bytes
Upload preprocessor_config.json with huggingface_hub 5 months ago
pytorch_model.bin
Detected Pickle imports (4)
- "torch._utils._rebuild_tensor_v2",
- "torch.FloatStorage",
- "torch.LongStorage",
- "collections.OrderedDict"
What is a pickle import?
16.5 MB
xet

Upload pytorch_model.bin with huggingface_hub 5 months ago