Instructions to use Radda/bert-base-malicous-code-classification-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Radda/bert-base-malicous-code-classification-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Radda/bert-base-malicous-code-classification-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Radda/bert-base-malicous-code-classification-finetuned") model = AutoModelForSequenceClassification.from_pretrained("Radda/bert-base-malicous-code-classification-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5ad135ee4bcd43dc8660ca3824c436b98ddbe7d290539aa61c6fb15ba0f5274
- Size of remote file:
- 438 MB
- SHA256:
- cb1ec9dad169bb4f9424477734238ad27c95ad96fd21d16d0011c71a5b764bdf
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