|
Download README.md from ICTNLP/CSLM-base: direct link, hf CLI and curl.
- Browser
- Download file 951 Bytes
-
https://huggingface.co/ICTNLP/CSLM-base/resolve/main/README.md
- Command line
-
hf download hf://ICTNLP/CSLM-base/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/ICTNLP/CSLM-base/resolve/main/README.md
951 Bytes
| license: apache-2.0 | |
| base_model: | |
| - meta-llama/Llama-3.1-8B-Instruct | |
| language: | |
| - zh | |
| - en | |
| # CSLM-base | |
| ## 💡 Model Description | |
| `CSLM-base` is a base cross-lingual speech language model checkpoint from the ACL 2026 Findings project *Efficient Training for Cross-lingual Speech Language Models*. | |
| It is designed for speech-to-speech / speech-conditioned generation workflows where speech units are used as model input. | |
| Paper: https://arxiv.org/abs/2604.11096 | |
| ## 📖 Citation | |
| If you use this model, please cite: | |
| ```bibtex | |
| @misc{zhou2026efficienttrainingcrosslingualspeech, | |
| title={Efficient Training for Cross-lingual Speech Language Models}, | |
| author={Yan Zhou and Qingkai Fang and Yun Hong and Yang Feng}, | |
| year={2026}, | |
| eprint={2604.11096}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL}, | |
| url={https://arxiv.org/abs/2604.11096}, | |
| } | |
| ``` | |
| ## ✉️ Contact | |
| For questions, contact: `zhouyan23z@ict.ac.cn` |