Instructions to use TransferGraph/mrm8488_codebert-base-finetuned-detect-insecure-code-finetuned-lora-tweet_eval_hate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use TransferGraph/mrm8488_codebert-base-finetuned-detect-insecure-code-finetuned-lora-tweet_eval_hate with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("mrm8488/codebert-base-finetuned-detect-insecure-code") model = PeftModel.from_pretrained(base_model, "TransferGraph/mrm8488_codebert-base-finetuned-detect-insecure-code-finetuned-lora-tweet_eval_hate") - Notebooks
- Google Colab
- Kaggle
mrm8488_codebert-base-finetuned-detect-insecure-code-finetuned-lora-tweet_eval_hate / adapter_model.safetensors
- Xet hash:
- 67b6d984b68392a0d0c91d90f6ef23f48d8f3392df143fc8089a60e5919ce6b0
- Size of remote file:
- 2.52 MB
- SHA256:
- d22e5e986f00a741da03a44e6f4592f8dfe382f321c23724a71b91f0175550c4
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