Instructions to use Nikkisweety/Generative with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Nikkisweety/Generative with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Nikkisweety/Generative", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
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Download README.md from Nikkisweety/Generative: direct link, hf CLI and curl.
- Browser
- Download file 193 Bytes
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https://huggingface.co/Nikkisweety/Generative/resolve/main/README.md
- Command line
-
hf download hf://Nikkisweety/Generative/README.md
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curl -L -o README.md https://huggingface.co/Nikkisweety/Generative/resolve/main/README.md
193 Bytes
metadata
license: apache-2.0
datasets:
- HuggingFaceFW/fineweb-edu
language:
- af
metrics:
- accuracy
library_name: diffusers
pipeline_tag: text-to-speech
tags:
- legal
- art
- climate
- medical