Instructions to use aalonso-developer/vit-base-clothing-leafs-example-full-simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aalonso-developer/vit-base-clothing-leafs-example-full-simple with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="aalonso-developer/vit-base-clothing-leafs-example-full-simple") 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("aalonso-developer/vit-base-clothing-leafs-example-full-simple") model = AutoModelForImageClassification.from_pretrained("aalonso-developer/vit-base-clothing-leafs-example-full-simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
03aa718
1
Parent(s): 7f0ed1f
Training in progress, step 19000
Browse files
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 343404013
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ef655d17d2f39303f4fb3ffd57cbe7a78af90a7780c403a1d03f007f4ef0387c
|
| 3 |
size 343404013
|
runs/Jun09_16-17-56_adrian-development/events.out.tfevents.1686320280.adrian-development.7991.0
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:b3d42c4bd41efa557fc24837e5d3371a76fdeb9195da51f9c6d9133800deefbc
|
| 3 |
+
size 15020
|