Instructions to use anyu205/VieNeu-TTS-v2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use anyu205/VieNeu-TTS-v2-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("pnnbao-ump/VieNeu-TTS-v2") model = PeftModel.from_pretrained(base_model, "anyu205/VieNeu-TTS-v2-lora") - Notebooks
- Google Colab
- Kaggle
🦜 VieNeu-TTS-LoRA
LoRA adapter được fine-tune từ base model VieNeu-TTS-v2
Code finetune VieNeu-TTS tại repo: https://github.com/pnnbao97/VieNeu-TTS
🔗 Base Model
- Base model:
pnnbao-ump/VieNeu-TTS-v2 - Repo này chỉ chứa LoRA adapter, không bao gồm model gốc.
📦 Dataset
🚀 Usage
from transformers import AutoModelForCausalLM
from peft import PeftModel
base_model = AutoModelForCausalLM.from_pretrained(
"pnnbao-ump/VieNeu-TTS-v2",
device_map="auto"
)
model = PeftModel.from_pretrained(
base_model,
"anyu205/VieNeu-TTS-v2-lora"
)
## Credits
Base model: Phạm Nguyễn Ngọc Bảo
LORA finetuning: Phạm Nguyễn Ngọc Bảo
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Model tree for anyu205/VieNeu-TTS-v2-lora
Base model
pnnbao-ump/VieNeu-TTS-v2