Instructions to use gkMSDA/PEFTAdapterWeightsTest with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use gkMSDA/PEFTAdapterWeightsTest with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("THUDM/chatglm2-6b") model = PeftModel.from_pretrained(base_model, "gkMSDA/PEFTAdapterWeightsTest") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e820c47b13537ee84f4d650281f58d56451e04965f568fb754b6e12e2fce614
- Size of remote file:
- 7.82 MB
- SHA256:
- 7f8d1d06415185533bb6010f4258dfb890d5577d005a281c318166f7454ffc22
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