metadata
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
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