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 base/tokenizer.json from litcoderr/CausalLens: direct link, hf CLI and curl.
- Browser
- Download file 7.03 MB
-
https://huggingface.co/litcoderr/CausalLens/resolve/main/base/tokenizer.json
- Command line
-
hf download hf://litcoderr/CausalLens/base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/litcoderr/CausalLens/resolve/main/base/tokenizer.json
7.03 MB
- Xet hash:
- 5dd1dc6bfc06ca6c62d50694935bb06340b71ad8ef8937f9ec4981a07cb742ac
- Size of remote file:
- 7.03 MB
- SHA256:
- a5d85b6dcc535e6b93115a9ef287e6132fdbf30270da6218194ba742261173c7
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