Text Generation
paddlenlp
Safetensors
cubiczan-moe
Cubiczan
MoE
structured-reasoning
strategic-analysis
conversational
custom_code
Instructions to use Impactquadrant/Cubiczan-MoE-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- paddlenlp
How to use Impactquadrant/Cubiczan-MoE-7B with paddlenlp:
from paddlenlp.transformers import AutoTokenizer, CubiczanMoEForCausalLM tokenizer = AutoTokenizer.from_pretrained("Impactquadrant/Cubiczan-MoE-7B", from_hf_hub=True) model = CubiczanMoEForCausalLM.from_pretrained("Impactquadrant/Cubiczan-MoE-7B", from_hf_hub=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b3712895c6d34f1fd429ef8ff302635bcbe895659754c7c31be636b28f7a546f
- Size of remote file:
- 11.4 MB
- SHA256:
- 694f1174c5bdf94e2fc50796c0f1733a5a3945ff110b0dfa40ea0701cc9c9c42
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