Instructions to use stepfun-ai/NextStep-1-Large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stepfun-ai/NextStep-1-Large with Transformers:
# Load model directly from transformers import AutoModelForCausalLM model = AutoModelForCausalLM.from_pretrained("stepfun-ai/NextStep-1-Large", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2839e73da4abd52f7a1d3ea0eaf794b461699d3592396d24e267f4600d9f99c5
- Size of remote file:
- 4.97 GB
- SHA256:
- 7249fc02c2a6282208b4a21b7826c39e027dccd84e32e1faa10217a6ba8f76bf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.