How to use microsoft/deberta-xlarge-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="microsoft/deberta-xlarge-mnli")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-xlarge-mnli") model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-xlarge-mnli", device_map="auto")
https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/02a79c9192e55f2b154f3e9152b1eb5544e04cae/tokenizer_config.json
hf download hf://microsoft/deberta-xlarge-mnli@02a79c9192e55f2b154f3e9152b1eb5544e04cae/tokenizer_config.json
curl -L -o tokenizer_config.json https://huggingface.co/microsoft/deberta-xlarge-mnli/resolve/02a79c9192e55f2b154f3e9152b1eb5544e04cae/tokenizer_config.json
