Instructions to use SGLang/DeepSeek-R1-NextN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SGLang/DeepSeek-R1-NextN with Transformers:
# Load model directly from transformers import AutoTokenizer, DeepseekV3ForCausalLMNextN tokenizer = AutoTokenizer.from_pretrained("SGLang/DeepSeek-R1-NextN", trust_remote_code=True) model = DeepseekV3ForCausalLMNextN.from_pretrained("SGLang/DeepSeek-R1-NextN", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 1, | |
| "do_sample": true, | |
| "temperature": 0.6, | |
| "top_p": 0.95, | |
| "transformers_version": "4.39.3" | |
| } | |