Instructions to use KawWer/1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use KawWer/1 with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("KawWer/1", set_active=True) - Notebooks
- Google Colab
- Kaggle
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Download README.md from KawWer/1: direct link, hf CLI and curl.
- Browser
- Download file 273 Bytes
-
https://huggingface.co/KawWer/1/resolve/main/README.md
- Command line
-
hf download hf://KawWer/1/README.md
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curl -L -o README.md https://huggingface.co/KawWer/1/resolve/main/README.md
273 Bytes
metadata
license: apache-2.0
datasets:
- openai/MMMLU
language:
- en
- vi
metrics:
- accuracy
base_model:
- nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
new_version: RichardErkhov/nvidia_-_Llama-3.1-Nemotron-70B-Instruct-HF-gguf
library_name: adapter-transformers
tags:
- music