Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
Generated from Trainer
Eval Results (legacy)
Instructions to use surprisedPikachu007/tomato-disease-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use surprisedPikachu007/tomato-disease-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="surprisedPikachu007/tomato-disease-detection") 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("surprisedPikachu007/tomato-disease-detection") model = AutoModelForImageClassification.from_pretrained("surprisedPikachu007/tomato-disease-detection", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
a888dee
1
Parent(s): 1946d60
Training in progress, epoch 2
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343293293
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b59b3ac44b4a7a3f26c0ca61063c8456cf0cec8b3f80358518d1c6fc9c1db5d2
|
| 3 |
size 343293293
|
runs/Mar09_10-25-32_pikachus-manjaro/events.out.tfevents.1678337740.pikachus-manjaro.10008.0
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef55b55748ee1aad1850d3fbd7e0fb2284d32b5e8002e62093648ca9985e3e8a
|
| 3 |
+
size 49727
|