---
language:
- ar
license: apache-2.0
tags:
- text-to-speech
- tts
- arabic
- saudi
- lora
- outetts
- peft
base_model: OuteAI/OuteTTS-0.2-500M
pipeline_tag: text-to-speech
---

# 🎙️ OuteTTS Saudi Arabic - LoRA Adapter (Step 1000)

Fine-tuned LoRA adapter for Saudi Arabic text-to-speech.

## Model Details
- **Base Model:** OuteAI/OuteTTS-0.2-500M
- **Language:** Arabic (Saudi Dialect)
- **Training Steps:** 1000
- **Training Samples:** 7,400
- **Method:** LoRA (Low-Rank Adaptation)

## Usage

```python
from transformers import AutoModelForCausalLM
from peft import PeftModel

# Load base model
base_model = AutoModelForCausalLM.from_pretrained("OuteAI/OuteTTS-0.2-500M")

# Load LoRA adapter
model = PeftModel.from_pretrained(base_model, "ISTNetworks/outerTTS-saudi-lora-1000")
tokenizer = AutoTokenizer.from_pretrained("ISTNetworks/outerTTS-saudi-lora-1000")

# Use for inference
```

## Checkpoint Series
This is checkpoint 1000 in a series of training checkpoints:
- [checkpoint-1000](ISTNetworks/outerTTS-saudi-lora-1000) (early stage)
- [checkpoint-2000](ISTNetworks/outerTTS-saudi-lora-2000) (mid-training)
- [checkpoint-3000](ISTNetworks/outerTTS-saudi-lora-3000) (advanced)
- [checkpoint-4000](ISTNetworks/outerTTS-saudi-lora-4000) (mature)

## Use Cases
- Banking IVR systems
- Saudi Arabic voice assistants
- Customer service automation

## License
Apache 2.0