Instructions to use Edens-Gate/GLM-v2-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Edens-Gate/GLM-v2-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/GLM-4-32B-0414") model = PeftModel.from_pretrained(base_model, "Edens-Gate/GLM-v2-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8bac2ca8e26a14551fb5d5f248bf23cee3cc0a1d7c23cd77f8f80c11584311dc
- Size of remote file:
- 8.57 kB
- SHA256:
- b6cfbae5f5972dd850bae3d0987f916904b4b5b8d723c11ef16db54c57724a76
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