Text-to-Image
Transformers
Safetensors
Hunyuan
text-generation
auto-round
mxfp4
custom_code
8-bit precision
Instructions to use intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound: direct link, hf CLI and curl.
- Browser
- Download file 25 MB
-
https://huggingface.co/intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound/resolve/main/tokenizer.json
- Command line
-
hf download hf://intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/intel-ai/HunyuanImage-3.0-Instruct-Distil-MXFP4-Mixed-Tuning-AutoRound/resolve/main/tokenizer.json
25 MB
- Xet hash:
- bf9c03e4ef34a18f2cbe429947503662415dc59d12972911057eeaffe0e7a70f
- Size of remote file:
- 25 MB
- SHA256:
- c2439418b9be76a54d8b5ff1ed89b37e36ec1735730f7da99b5aabb83a73db64
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