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
| 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. | |