Instructions to use litcoderr/CausalLens with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use litcoderr/CausalLens with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("/home/junho/lbk/Competency/com2025/full_merged_checkpoint") model = PeftModel.from_pretrained(base_model, "litcoderr/CausalLens") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from litcoderr/CausalLens: direct link, hf CLI and curl.
- Browser
- Download file 175 MB
-
https://huggingface.co/litcoderr/CausalLens/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://litcoderr/CausalLens/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/litcoderr/CausalLens/resolve/main/adapter_model.safetensors
175 MB
- Xet hash:
- 5302b72a960e7d82545b4484822aac72ece46719777c03055b5e88929e373be6
- Size of remote file:
- 175 MB
- SHA256:
- 50ff7fc078227ea4f4a93270e91b27316ff8884ae6f55dd1ec6dae601bcaf422
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