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