Feature Extraction
Diffusers
English
Urdu
Italian
code
medical
chemistry
biology
music
art
legal
text-generation-inference
finance
not-for-all-eyes
Instructions to use zee2221/ai_me with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use zee2221/ai_me with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("zee2221/ai_me", torch_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: openrail
datasets:
- fka/awesome-chatgpt-prompts
- gsdf/EasyNegative
- Nerfgun3/bad_prompt
- tatsu-lab/alpaca
- stanfordnlp/SHP
- yizhongw/self_instruct
- nyanko7/LLaMA-65B
- laion/OIG
- Anthropic/hh-rlhf
- SirNeural/flan_v2
language:
- en
- ur
- it
metrics:
- accuracy
- code_eval
- bertscore
- bleurt
- brier_score
- cer
- character
- charcut_mt
- chrf
library_name: diffusers
pipeline_tag: feature-extraction
tags:
- code
- medical
- chemistry
- biology
- music
- art
- legal
- text-generation-inference
- finance
- not-for-all-eyes