How to use dmilush/shieldlm-deberta-mcp-tools with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dmilush/shieldlm-deberta-mcp-tools")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dmilush/shieldlm-deberta-mcp-tools") model = AutoModelForSequenceClassification.from_pretrained("dmilush/shieldlm-deberta-mcp-tools", device_map="auto")
