Instructions to use tekwhisperer/Hemppimp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use tekwhisperer/Hemppimp with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("tekwhisperer/Hemppimp", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from tekwhisperer/Hemppimp: direct link, hf CLI and curl.
- Browser
- Download file 307 Bytes
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https://huggingface.co/tekwhisperer/Hemppimp/resolve/main/README.md
- Command line
-
hf download hf://tekwhisperer/Hemppimp/README.md
-
curl -L -H "Authorization: Bearer $HF_TOKEN" -o README.md https://huggingface.co/tekwhisperer/Hemppimp/resolve/main/README.md
307 Bytes
metadata
license: apache-2.0
datasets:
- HuggingFaceFW/finephrase
- open-index/hacker-news
- ropedia-ai/xperience-10m
- nohurry/Opus-4.6-Reasoning-3000x-filtered
- OpenMOSS-Team/OmniAction
language:
- en
base_model:
- HauhauCS/Qwen3.5-35B-A3B-Uncensored-HauhauCS-Aggressive
library_name: adapter-transformers