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