Video-Text-to-Text
Transformers
Safetensors
English
soccer_qa_4b
soccer
video-qa
question-answering
vision-language
multimodal
sports-analysis
Instructions to use sportsvision/soccer-qa-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sportsvision/soccer-qa-4b with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("sportsvision/soccer-qa-4b", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "additional_special_tokens": [ | |
| "<video>" | |
| ], | |
| "bos_token": { | |
| "content": "<|begin_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "content": "<|end_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|end_of_text|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |