Instructions to use Gem1832/monkey_06 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gem1832/monkey_06 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Gem1832/monkey_06")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("Gem1832/monkey_06", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 510 Bytes
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license: cc-by-nc-sa-4.0
base_model: Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
pipeline_tag: text-to-speech
library_name: transformers
language:
- en
tags:
- tts
- qwen3-tts
- vocence
---
# vocence_cool_miner
Prompt-driven English TTS on Qwen3-TTS-12Hz-1.7B-VoiceDesign.
```python
from qwen_tts import Qwen3TTSModel
m = Qwen3TTSModel.from_pretrained("forgery989/vocence_cool_miner")
wavs, sr = m.generate_voice_design(text="Hi.", instruct="Friendly voice.", language="english")
```
CC BY-NC-SA 4.0.
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