Instructions to use Tino3141/blap with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tino3141/blap with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Tino3141/blap", dtype="auto") - Notebooks
- Google Colab
- Kaggle
This work is based on our paper:
@INPROCEEDINGS{10887618,
author={Lanzendörfer, Luca A. and Pinkl, Constantin and Perraudin, Nathanaël and Wattenhofer, Roger},
booktitle={ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={Bootstrapping Language-Audio Pre-training for Music Captioning},
year={2025},
pages={1-5},
keywords={Measurement; Large language models; Computational modeling; Signal processing; Transformers; Data models; Acoustics; Multiple signal classification; Speech processing; Music Captioning; Language Models; Contrastive Language-Audio Pre-training},
doi={10.1109/ICASSP49660.2025.10887618}
}
- Downloads last month
- 7
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support