Instructions to use Deepakiitm/llama-multilingual-all-pairs_reverse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deepakiitm/llama-multilingual-all-pairs_reverse with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Deepakiitm/llama-multilingual-all-pairs_reverse", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c65f321ccfb3e7534322376a7e4aae0c5fd413e7d8f20da610ef66c4e5b09b0c
- Size of remote file:
- 17.2 MB
- SHA256:
- 9f7360d445a919d012d852aa72fc00df2fe4a63414d757c36c08feae06486c50
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.