Instructions to use StepControlled/InternLM-20B-SCDPO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StepControlled/InternLM-20B-SCDPO with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="StepControlled/InternLM-20B-SCDPO", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("StepControlled/InternLM-20B-SCDPO", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c71e342b4fc4be616e472ec693daedefd9a9e54672fdb2c2c650ac008cd0a020
- Size of remote file:
- 7.22 kB
- SHA256:
- 5e2dc1e14b5872983d56265bfab3d968c256a50d7ec35bfaae995ad6e102f79c
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