Instructions to use pandalla/ChatLaw2-MoE with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pandalla/ChatLaw2-MoE with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="pandalla/ChatLaw2-MoE", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("pandalla/ChatLaw2-MoE", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "epoch": 2.0, | |
| "train_loss": 1.1182698494837005, | |
| "train_runtime": 99534.9844, | |
| "train_samples_per_second": 13.655, | |
| "train_steps_per_second": 0.107 | |
| } |