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
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https://huggingface.co/sqa1014/Text_to_Image1017/resolve/main/README.md
- Command line
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hf download hf://sqa1014/Text_to_Image1017/README.md
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curl -L -o README.md https://huggingface.co/sqa1014/Text_to_Image1017/resolve/main/README.md
253 Bytes
| 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]' | |