Text-to-Speech
Transformers
ONNX
Safetensors
multimodal
audio
video
conversational
full-duplex
function-calling
gander
Instructions to use lingyuxing/Gander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lingyuxing/Gander with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="lingyuxing/Gander")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("lingyuxing/Gander", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download thinker/generation_config.json from lingyuxing/Gander: direct link, hf CLI and curl.
- Browser
- Download file 214 Bytes
-
https://huggingface.co/lingyuxing/Gander/resolve/main/thinker/generation_config.json
- Command line
-
hf download hf://lingyuxing/Gander/thinker/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/lingyuxing/Gander/resolve/main/thinker/generation_config.json
214 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "temperature": 0.6, | |
| "top_k": 20, | |
| "top_p": 0.95, | |
| "transformers_version": "4.51.0" | |
| } | |