How to use aieng-lab/codet5p-220m_bug-issue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codet5p-220m_bug-issue")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-220m_bug-issue") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-220m_bug-issue", device_map="auto")
https://huggingface.co/aieng-lab/codet5p-220m_bug-issue/resolve/main/tokenizer.json
hf download hf://aieng-lab/codet5p-220m_bug-issue/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/aieng-lab/codet5p-220m_bug-issue/resolve/main/tokenizer.json
