Instructions to use AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/codebert-base") model = PeftModel.from_pretrained(base_model, "AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash/resolve/main/training_args.bin
- Command line
-
hf download hf://AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/AdnanRiaz107/codebertbasePEFTLORA-finetuned-the-stack-bash/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- cedcc21aa0a79dcfbf8c77862690ab0556da78b885efc86b590c19de7609fde6
- Size of remote file:
- 4.73 kB
- SHA256:
- 5b1b2e06f479fde4d1e76b12a32992bb10fbd98b2abaabe606b2137022862fd2
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