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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability: direct link, hf CLI and curl.
- Browser
- Download file 499 MB
-
https://huggingface.co/angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability/resolve/main/model.safetensors
- Command line
-
hf download hf://angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/angusleung100/GraphCodeBERT-Base-Solidity-Vulnerability/resolve/main/model.safetensors
499 MB
- Xet hash:
- b983c2cd99ec816cee1004789a2c86ea593a889ee41da404e3f45eb36b59477b
- Size of remote file:
- 499 MB
- SHA256:
- d4c2bf8080a9069601057d544286c61cd5878db1696e817f1a96297587242665
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.