How to use uclanlp/plbart-c-cpp-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="uclanlp/plbart-c-cpp-defect-detection")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-c-cpp-defect-detection") model = AutoModelForSequenceClassification.from_pretrained("uclanlp/plbart-c-cpp-defect-detection", device_map="auto")
https://huggingface.co/uclanlp/plbart-c-cpp-defect-detection/resolve/d38fbf5d7ab6cf85259af2abdec32a71bd1ffedd/tokenizer_config.json
hf download hf://uclanlp/plbart-c-cpp-defect-detection@d38fbf5d7ab6cf85259af2abdec32a71bd1ffedd/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/uclanlp/plbart-c-cpp-defect-detection/resolve/d38fbf5d7ab6cf85259af2abdec32a71bd1ffedd/tokenizer_config.json
