Instructions to use dd101bb/latent-tts-codi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dd101bb/latent-tts-codi with Transformers:
# Load model directly from transformers import AutoTokenizer, CODIGPT2 tokenizer = AutoTokenizer.from_pretrained("dd101bb/latent-tts-codi") model = CODIGPT2.from_pretrained("dd101bb/latent-tts-codi") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -14,7 +14,7 @@ base_model:
|
|
| 14 |
|
| 15 |
## Overview
|
| 16 |
|
| 17 |
-
**CODI** (Continuous
|
| 18 |
|
| 19 |
## Model Details
|
| 20 |
|
|
|
|
| 14 |
|
| 15 |
## Overview
|
| 16 |
|
| 17 |
+
**CODI** (Continuous Chain-of-Thought via Self-Distillation) is a latent reasoning model based on GPT-2 that extends the base architecture with an optional projector module for enhanced hidden state representations. This model is part of the [Parallel Test-Time Scaling for Latent Reasoning Models](https://arxiv.org/abs/2510.07745) framework.
|
| 18 |
|
| 19 |
## Model Details
|
| 20 |
|