ISTNetworks/outerTTS-saudi-lora-1000

🎙️ 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

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 (early stage)
• checkpoint-2000 (mid-training)
• checkpoint-3000 (advanced)
• checkpoint-4000 (mature)

Use Cases

• Banking IVR systems
• Saudi Arabic voice assistants
• Customer service automation

License

Apache 2.0