Instructions to use Skywork/SkyCaptioner-V1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Skywork/SkyCaptioner-V1 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("Skywork/SkyCaptioner-V1") model = AutoModelForImageTextToText.from_pretrained("Skywork/SkyCaptioner-V1") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and library name
#1
by nielsr HF Staff - opened
README.md
CHANGED
|
@@ -2,7 +2,10 @@
|
|
| 2 |
license: other
|
| 3 |
license_name: skywork-license
|
| 4 |
license_link: LICENSE
|
|
|
|
|
|
|
| 5 |
---
|
|
|
|
| 6 |
# SkyCaptioner-V1: A Structural Video Captioning Model
|
| 7 |
|
| 8 |
<p align="center">
|
|
|
|
| 2 |
license: other
|
| 3 |
license_name: skywork-license
|
| 4 |
license_link: LICENSE
|
| 5 |
+
pipeline_tag: video-text-to-text
|
| 6 |
+
library_name: transformers
|
| 7 |
---
|
| 8 |
+
|
| 9 |
# SkyCaptioner-V1: A Structural Video Captioning Model
|
| 10 |
|
| 11 |
<p align="center">
|