Instructions to use jh-yi/Video-Panda-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jh-yi/Video-Panda-7B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jh-yi/Video-Panda-7B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag, library name and link to paper
Browse filesThis PR adds the missing pipeline tag, library name, and link to the paper, so that the model is correctly categorized as a video-text-to-text
model at https://huggingface.co/models?pipeline_tag=video-text-to-text,
and also links to the paper at https://huggingface.co/papers/2412.18609.
README.md
CHANGED
|
@@ -1,3 +1,7 @@
|
|
| 1 |
-
---
|
| 2 |
-
|
| 3 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
pipeline_tag: video-text-to-text
|
| 4 |
+
license: apache-2.0
|
| 5 |
+
---
|
| 6 |
+
|
| 7 |
+
This repository contains the model described in the paper [Video-Panda: Parameter-efficient Alignment for Encoder-free Video-Language Models](https://huggingface.co/papers/2412.18609).
|