Image Classification
Transformers
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use hossay/stool-condition-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hossay/stool-condition-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="hossay/stool-condition-classification") 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("hossay/stool-condition-classification") model = AutoModelForImageClassification.from_pretrained("hossay/stool-condition-classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
?? cheers
Verified signatureec5c089
-
Update config.json
Verified signaturea5170d2 -
Update README.md
Verified signature1375935 -
Update README.md
Verified signature5649888 -
Update README.md
Verified signature974d552 -
Update README.md
Verified signaturede1525d
-
🍻 cheers
eab3421 -
🍻 cheers
f53c77c -
🍻 cheers
b4ccebc -
🍻 cheers
34d11b8
-
🍻 cheers
35e862d -
🍻 cheers
27791c9 -
🍻 cheers
aa26950 -
Upload processor
948eb34 -
Upload ViTForImageClassification
504698a -
Upload processor
99e9a00 -
Upload ViTForImageClassification
0889a29 -
Upload processor
e54d3a6 -
Upload ViTForImageClassification
36e5397
-
Upload processor
2e0b86f -
Upload ViTForImageClassification
c4ce6fc -
Upload processor
4e35256 -
Upload ViTForImageClassification
3fca80f -
initial commit
8d1ec7a