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, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f495ca72150c0e6cc7caf9705fde6665b9e1168aaf5d0e23309c91ce43411803
- Size of remote file:
- 129 Bytes
- SHA256:
- 6b62b3e65ee30d1d8e51245eb90c9414cc707ab9cda99c090291e44eed308f3f
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