Text Generation
Adapters
chemistry
biology
finance
music
climate
Merge
text-generation-inference
Mixture of Experts
medical
legal
art
code
Instructions to use GhostNetworkUser/GhostAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use GhostNetworkUser/GhostAI with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("GhostNetworkUser/GhostAI", set_active=True) - Notebooks
- Google Colab
- Kaggle
metadata
license: mit
datasets:
- Anthropic/EconomicIndex
- open-r1/OpenR1-Math-220k
- Congliu/Chinese-DeepSeek-R1-Distill-data-110k
- fka/awesome-chatgpt-prompts
- SakanaAI/AI-CUDA-Engineer-Archive
- SynthLabsAI/Big-Math-RL-Verified
language:
- af
- es
- ee
- en
- ab
- aa
- as
- ay
- bg
- pa
- pl
- be
- bi
- ar
- bm
metrics:
- accuracy
- bertscore
base_model:
- deepseek-ai/DeepSeek-R1
- perplexity-ai/r1-1776
- black-forest-labs/FLUX.1-dev
new_version: deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
pipeline_tag: text-generation
library_name: adapter-transformers
tags:
- chemistry
- biology
- finance
- music
- climate
- merge
- text-generation-inference
- moe
- medical
- legal
- art
- code