How to use cliang1453/deberta-v3-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cliang1453/deberta-v3-base-mrpc")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cliang1453/deberta-v3-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("cliang1453/deberta-v3-base-mrpc", device_map="auto")
https://huggingface.co/cliang1453/deberta-v3-base-mrpc/resolve/main/tokenizer.json
hf download hf://cliang1453/deberta-v3-base-mrpc/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/cliang1453/deberta-v3-base-mrpc/resolve/main/tokenizer.json
