Image Classification
Transformers
PyTorch
TensorBoard
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use Dhika/raildefectfft2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dhika/raildefectfft2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Dhika/raildefectfft2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("Dhika/raildefectfft2") model = AutoModelForImageClassification.from_pretrained("Dhika/raildefectfft2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.a88bcdd
-
update model card README.md
87e1841 -
defect
b895107 -
update model card README.md
0612a3e -
Model save
a710bf4 -
Training in progress, step 450
d158abb -
Training in progress, step 440
3ec8701 -
Training in progress, step 430
4a1eff6 -
Training in progress, step 420
3f20806 -
Training in progress, step 410
c831bae -
Training in progress, step 400
b24135c -
Training in progress, step 390
4c80cc0 -
Training in progress, step 380
d0feafe -
Training in progress, step 370
481b6af -
Training in progress, step 360
cb7c5bf -
Training in progress, step 350
66f07e8 -
Training in progress, step 340
7241a76 -
Training in progress, step 330
661cdc2 -
Training in progress, step 320
d98bc22 -
Training in progress, step 310
02ed43b -
Training in progress, step 300
5eafee2 -
Training in progress, step 290
f7e4fa4 -
Training in progress, step 280
a8b4afe -
Training in progress, step 270
e074f3b -
Training in progress, step 260
8b8d18a -
Training in progress, step 250
133cd59 -
Training in progress, step 240
7a66ebd -
Training in progress, step 230
21d4472 -
Training in progress, step 220
3c99a3e -
Training in progress, step 210
14ec4ea -
Training in progress, step 200
97dd0a0 -
Training in progress, step 190
662afcd -
Training in progress, step 180
e421b53 -
Training in progress, step 170
b6b00e9 -
Training in progress, step 160
9745b2e -
Training in progress, step 150
1876f72 -
Training in progress, step 140
00ff040 -
Training in progress, step 130
3cda6d2 -
Training in progress, step 120
341967d -
Training in progress, step 110
ccd3079 -
Training in progress, step 100
ebebf73 -
Training in progress, step 90
b42b198 -
Training in progress, step 80
4826c94 -
Training in progress, step 70
3c204f0 -
Training in progress, step 60
ca6820a -
Training in progress, step 50
2a69d67 -
Training in progress, step 40
6df1a7f -
Training in progress, step 30
fb32aac -
Training in progress, step 20
a1e2010 -
Training in progress, step 10
471632e