Instructions to use Charrise/softanime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Charrise/softanime with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Charrise/softanime", dtype=torch.bfloat16, device_map="cuda") prompt = "I like you. I love you" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from Charrise/softanime: direct link, hf CLI and curl.
- Browser
- Download file 179 Bytes
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https://huggingface.co/Charrise/softanime/resolve/main/README.md
- Command line
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hf download hf://Charrise/softanime/README.md
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curl -L -o README.md https://huggingface.co/Charrise/softanime/resolve/main/README.md
179 Bytes
metadata
license: openrail++
datasets:
- fka/awesome-chatgpt-prompts
- QingyiSi/Alpaca-CoT
metrics:
- accuracy
library_name: diffusers
pipeline_tag: text-classification
tags:
- art