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
File size: 279 Bytes
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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
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