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:
- bddd927d3371769af4888167d01a92e40d9021ba0dce475fc497738ebaca4245
- Size of remote file:
- 20 MB
- SHA256:
- 76ebeac0d8bd7879ead7b43c16b44981f277e47225de2bd7de9ae1a6cc664a8c
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