How to use utahnlp/mrpc_microsoft_deberta-v3-base_seed-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="utahnlp/mrpc_microsoft_deberta-v3-base_seed-2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("utahnlp/mrpc_microsoft_deberta-v3-base_seed-2") model = AutoModelForSequenceClassification.from_pretrained("utahnlp/mrpc_microsoft_deberta-v3-base_seed-2", device_map="auto")
https://huggingface.co/utahnlp/mrpc_microsoft_deberta-v3-base_seed-2/resolve/main/tokenizer.json
hf download hf://utahnlp/mrpc_microsoft_deberta-v3-base_seed-2/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/utahnlp/mrpc_microsoft_deberta-v3-base_seed-2/resolve/main/tokenizer.json
