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
|
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
-
curl -L -o README.md https://huggingface.co/matheuscodezin/novastar/resolve/main/README.md
424 Bytes
| 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 | |