Audio-Text-to-Text
Transformers
Safetensors
English
Korean
fastslm
feature-extraction
audio
text-generation
custom_code
Eval Results
Instructions to use okestro-ai-lab/FastSLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use okestro-ai-lab/FastSLM with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("okestro-ai-lab/FastSLM", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -132,8 +132,8 @@ new_version: okestro-ai-lab/SYMPHONY-ASR
|
|
| 132 |
<!-- * 🔊 **HFQ-Former**: Hierarchically compresses high-frame-rate audio features while preserving the audio's local and global contextual information. -->
|
| 133 |
<!-- * 🔊 **Adaptor**: -->
|
| 134 |
<!-- * 🧠 **LLM Adaptation**: Effectively adapts pre-trained Large Language Models (LLMs) to the audio modality. -->
|
| 135 |
-
* **Low Speech Token Rate** 1.67 token/Sec.
|
| 136 |
-
* **Bilingual support (Korean & English)** in a single model
|
| 137 |
|
| 138 |
## 📖 Model Architecture
|
| 139 |
|
|
|
|
| 132 |
<!-- * 🔊 **HFQ-Former**: Hierarchically compresses high-frame-rate audio features while preserving the audio's local and global contextual information. -->
|
| 133 |
<!-- * 🔊 **Adaptor**: -->
|
| 134 |
<!-- * 🧠 **LLM Adaptation**: Effectively adapts pre-trained Large Language Models (LLMs) to the audio modality. -->
|
| 135 |
+
* **Low Speech Token Rate** 1.67 token/Sec.
|
| 136 |
+
* **Bilingual support (Korean & English)** in a single model
|
| 137 |
|
| 138 |
## 📖 Model Architecture
|
| 139 |
|