Instructions to use andricValdez/codebert-base-finetuned-codedetection-task-A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andricValdez/codebert-base-finetuned-codedetection-task-A with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andricValdez/codebert-base-finetuned-codedetection-task-A")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("andricValdez/codebert-base-finetuned-codedetection-task-A") model = AutoModelForSequenceClassification.from_pretrained("andricValdez/codebert-base-finetuned-codedetection-task-A") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c16087ab450e3313c795475bab7732800c4966afbb5f96eedadbfd9ee55f32e8
- Size of remote file:
- 499 MB
- SHA256:
- 17b838603e2f2126f78f06750637e7e6903be103521f96972d23ff9615c5fca9
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