Instructions to use matheuscodezin/novastar with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use matheuscodezin/novastar with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("matheuscodezin/novastar", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from matheuscodezin/novastar: direct link, hf CLI and curl.
- Browser
- Download file 424 Bytes
-
https://huggingface.co/matheuscodezin/novastar/resolve/main/README.md
- Command line
-
hf download hf://matheuscodezin/novastar/README.md
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curl -L -o README.md https://huggingface.co/matheuscodezin/novastar/resolve/main/README.md
424 Bytes
metadata
license: apache-2.0
datasets:
- qsardor/Claude-Sonnet-Opus
- >-
Manusagents/GPT-5.5-Gemini-3.1-Pro-Grok-4-Claude-Fable-5-Mythos-5-Qwen-3.7-Max-and-more-Distillation-Dataset
- Qwen/AgentWorldBench
- perplexity-ai/draco
language:
- en
- pt
- es
metrics:
- code_eval
- indic_glue
- recall
base_model:
- mondk/claude.sonnet5-qwen3-VL-8b-it
new_version: empero-ai/Qwythos-27B-v1
library_name: transformers
tags:
- agent