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:
- bfd3d04fb7793d0645e0ee7e94a1eb566a207f294a0af8b7fea57f18328be358
- Size of remote file:
- 2.62 GB
- SHA256:
- 80794ab16f86bb53e211129f7c7c5c7f8c6c42a0257c7ee9941c9a38d5558e4d
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