Instructions to use OpenGVLab/VideoChat-TPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenGVLab/VideoChat-TPO with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenGVLab/VideoChat-TPO", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 363 Bytes
16dc4f2 | 1 2 3 4 5 6 7 8 9 10 11 | #!/usr/bin/env bash
# Usage: bash standalone_eval/eval_sample.sh
submission_path=standalone_eval/sample_val_preds.jsonl
gt_path=data/highlight_val_release.jsonl
save_path=standalone_eval/sample_val_preds_metrics.json
PYTHONPATH=$PYTHONPATH:. python standalone_eval/eval.py \
--submission_path ${submission_path} \
--gt_path ${gt_path} \
--save_path ${save_path}
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