Instructions to use Tjindustries/Amanda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use Tjindustries/Amanda with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("Tjindustries/Amanda", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from Tjindustries/Amanda: direct link, hf CLI and curl.
- Browser
- Download file 339 Bytes
-
https://huggingface.co/Tjindustries/Amanda/resolve/main/README.md
- Command line
-
hf download hf://Tjindustries/Amanda/README.md
-
curl -L -o README.md https://huggingface.co/Tjindustries/Amanda/resolve/main/README.md
339 Bytes
metadata
license: bigscience-bloom-rail-1.0
datasets:
- nvidia/Llama-Nemotron-Post-Training-Dataset
language:
- de
- en
metrics:
- accuracy
base_model:
- ds4sd/SmolDocling-256M-preview
new_version: deepseek-ai/DeepSeek-V3-0324
pipeline_tag: text-to-speech
library_name: adapter-transformers
tags:
- art
- biology
- text-generation-inference