Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability") model = AutoModelForSequenceClassification.from_pretrained("angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b983c2cd99ec816cee1004789a2c86ea593a889ee41da404e3f45eb36b59477b
- Size of remote file:
- 499 MB
- SHA256:
- d4c2bf8080a9069601057d544286c61cd5878db1696e817f1a96297587242665
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