Instructions to use chutesai/DeepSeek-V3.1-Terminus-NextN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chutesai/DeepSeek-V3.1-Terminus-NextN with Transformers:
# Load model directly from transformers import AutoTokenizer, DeepseekV3ForCausalLMNextN tokenizer = AutoTokenizer.from_pretrained("chutesai/DeepSeek-V3.1-Terminus-NextN", trust_remote_code=True) model = DeepseekV3ForCausalLMNextN.from_pretrained("chutesai/DeepSeek-V3.1-Terminus-NextN", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
what's the difference between this nextn and self contained MTP model in DeepSeek-V3.1-Terminus?
#1
by luchangli03 - opened
what's the difference between this nextn and self contained MTP model in DeepSeek-V3.1-Terminus?