Instructions to use prithivMLmods/Gameplay-Classcode-10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prithivMLmods/Gameplay-Classcode-10 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="prithivMLmods/Gameplay-Classcode-10") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoProcessor, AutoModelForImageClassification processor = AutoProcessor.from_pretrained("prithivMLmods/Gameplay-Classcode-10") model = AutoModelForImageClassification.from_pretrained("prithivMLmods/Gameplay-Classcode-10") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -2,4 +2,14 @@
|
|
| 2 |
license: apache-2.0
|
| 3 |
datasets:
|
| 4 |
- Bingsu/Gameplay_Images
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
---
|
|
|
|
| 2 |
license: apache-2.0
|
| 3 |
datasets:
|
| 4 |
- Bingsu/Gameplay_Images
|
| 5 |
+
language:
|
| 6 |
+
- en
|
| 7 |
+
base_model:
|
| 8 |
+
- google/siglip2-so400m-patch14-384
|
| 9 |
+
pipeline_tag: image-classification
|
| 10 |
+
library_name: transformers
|
| 11 |
+
tags:
|
| 12 |
+
- Gameplay
|
| 13 |
+
- Classcode
|
| 14 |
+
- '10'
|
| 15 |
---
|