Image Classification
Transformers
TensorBoard
Safetensors
vit
vision
Generated from Trainer
Eval Results (legacy)
Instructions to use howaboutyu/vit-base-beans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use howaboutyu/vit-base-beans with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="howaboutyu/vit-base-beans") 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("howaboutyu/vit-base-beans") model = AutoModelForImageClassification.from_pretrained("howaboutyu/vit-base-beans", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 8000
Browse files
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 sha256:12b523845370c9a7d35ef6ae71089fd5f49c1814167f18b05b61e137d7d40fc8
|
| 3 |
size 343223968
|
runs/May22_15-17-42_DL-Station/events.out.tfevents.1716358722.DL-Station.2893395.0
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 sha256:5ac28b371eb23eb31784cb955a42bf317b63c9f86a41a213174e1b641a863a5d
|
| 3 |
+
size 141798
|