Instructions to use sqa1014/Text_to_Image1017 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- BERTopic
How to use sqa1014/Text_to_Image1017 with BERTopic:
from bertopic import BERTopic model = BERTopic.load("sqa1014/Text_to_Image1017") - Notebooks
- Google Colab
- Kaggle
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Download README.md from sqa1014/Text_to_Image1017: direct link, hf CLI and curl.
- Browser
- Download file 253 Bytes
-
https://huggingface.co/sqa1014/Text_to_Image1017/resolve/main/README.md
- Command line
-
hf download hf://sqa1014/Text_to_Image1017/README.md
-
curl -L -o README.md https://huggingface.co/sqa1014/Text_to_Image1017/resolve/main/README.md
253 Bytes
metadata
license: mit
datasets:
- fka/awesome-chatgpt-prompts
language:
- zh
metrics:
- bertscore
base_model:
- Qwen/Qwen-Image
new_version: openai/gpt-oss-120b
pipeline_tag: text-to-image
library_name: bertopic
tags:
- '[图像生成, stable-diffusion]'