Image Classification
Transformers
TensorBoard
Safetensors
vit
food
fruits
junkfood
Generated from Trainer
Instructions to use gutkia01/vit-food-classification-gutkia01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gutkia01/vit-food-classification-gutkia01 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="gutkia01/vit-food-classification-gutkia01") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("gutkia01/vit-food-classification-gutkia01") model = AutoModelForImageClassification.from_pretrained("gutkia01/vit-food-classification-gutkia01", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13000
Browse files- model.safetensors +1 -1
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343223968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:bcffd94168a9548a30392b71ebad4bc27cbd7fbe081b443448ce3f68fdb373fe
|
| 3 |
size 343223968
|