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 causal_qformer_adapter.pt from litcoderr/CausalLens: direct link, hf CLI and curl.
- Browser
- Download file 13.7 MB
-
https://huggingface.co/litcoderr/CausalLens/resolve/main/causal_qformer_adapter.pt
- Command line
-
hf download hf://litcoderr/CausalLens/causal_qformer_adapter.pt
-
curl -L -o causal_qformer_adapter.pt https://huggingface.co/litcoderr/CausalLens/resolve/main/causal_qformer_adapter.pt
13.7 MB
- Xet hash:
- 4636a28c60d4682a6a8beab0ebd8efcae377d3ad419942e2c32f17d3554866f7
- Size of remote file:
- 13.7 MB
- SHA256:
- 20a89fff506808bc5e0ae78556eeb17651980b90f3069ab6f438be76a3125088
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