Instructions to use charlestonX/Bitcoin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use charlestonX/Bitcoin with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("charlestonX/Bitcoin", 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
metadata
license: apache-2.0
datasets:
- togethercomputer/RedPajama-Data-1T
- OpenAssistant/oasst1
- fka/awesome-chatgpt-prompts
- anon8231489123/ShareGPT_Vicuna_unfiltered
- QingyiSi/Alpaca-CoT
- RyokoAI/ShareGPT52K
language:
- en
metrics:
- cer
library_name: diffusers
tags:
- finance