Instructions to use intervitens/internlm2-limarp-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use intervitens/internlm2-limarp-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/data/internlm2-base-20b-llama") model = PeftModel.from_pretrained(base_model, "intervitens/internlm2-limarp-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb88de5faa9e82368b3bee26636575e1c4b57b4e27ceaf70e456ac377aacd8e3
- Size of remote file:
- 1.48 MB
- SHA256:
- f868398fc4e05ee1e8aeba95ddf18ddcc45b8bce55d5093bead5bbf80429b48b
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