Instructions to use TriusAI/TriusLD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TriusAI/TriusLD with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TriusAI/TriusLD", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download NOTICE from TriusAI/TriusLD: direct link, hf CLI and curl.
- Browser
- Download file 279 Bytes
-
https://huggingface.co/TriusAI/TriusLD/resolve/main/NOTICE
- Command line
-
hf download hf://TriusAI/TriusLD/NOTICE
-
curl -L -o NOTICE https://huggingface.co/TriusAI/TriusLD/resolve/main/NOTICE
279 Bytes
| TriusLD | |
| Copyright 2026 TriusAI | |
| This distribution contains a tokenizer: a vocabulary and a list of byte-pair | |
| merge rules. It contains no text from the training corpus. | |
| Training data provenance: | |
| FineWeb (HuggingFace) ODC-By 1.0 | |
| FineWeb-2 (HuggingFace) ODC-By 1.0 | |