Visual Question Answering
Transformers
Safetensors
English
idefics2
text-classification
text-generation-inference
Instructions to use TIGER-Lab/VideoScore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TIGER-Lab/VideoScore with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TIGER-Lab/VideoScore")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("TIGER-Lab/VideoScore") model = AutoModelForSequenceClassification.from_pretrained("TIGER-Lab/VideoScore") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bad_words_ids": [ | |
| [ | |
| 32000 | |
| ], | |
| [ | |
| 32001 | |
| ] | |
| ], | |
| "bos_token_id": 1, | |
| "eos_token_id": [ | |
| 2, | |
| 32002 | |
| ], | |
| "pad_token_id": 0, | |
| "transformers_version": "4.41.1" | |
| } | |