Text-to-Image
Transformers
Safetensors
qwen2
text-generation
art
text-rendering
text-generation-inference
Instructions to use X-ART/LeX-Enhancer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use X-ART/LeX-Enhancer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("X-ART/LeX-Enhancer") model = AutoModelForCausalLM.from_pretrained("X-ART/LeX-Enhancer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 78af695675c4fc8453e45a039d33450bec835340edcdac08f9a1af71f046ab0d
- Size of remote file:
- 11.4 MB
- SHA256:
- e20ddafc659ba90242154b55275402edeca0715e5dbb30f56815a4ce081f4893
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.