Text-to-Speech
Transformers
Safetensors
English
higgs_multimodal_qwen3
feature-extraction
tts
voice-cloning
higgs-audio
qwen3
custom_code
Instructions to use Infinix-io/back-up-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Infinix-io/back-up-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Infinix-io/back-up-2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Infinix-io/back-up-2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Infinix-io/back-up-2: direct link, hf CLI and curl.
- Browser
- Download file 11.4 MB
-
https://huggingface.co/Infinix-io/back-up-2/resolve/main/tokenizer.json
- Command line
-
hf download hf://Infinix-io/back-up-2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Infinix-io/back-up-2/resolve/main/tokenizer.json
11.4 MB
- Xet hash:
- 06e38dd376a70857530dc0ab7829362d14fe01e8bdbf6b01b04669c953799bad
- Size of remote file:
- 11.4 MB
- SHA256:
- eb883de2de5adc5113f1f02b54830a0ea7cd6ef191cde65c41aceb3737d4d1c1
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