How to use sayed0am/sn-xlm-roberta-base-snli-mnli-anli-xnli-onnx with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("sayed0am/sn-xlm-roberta-base-snli-mnli-anli-xnli-onnx") sentences = [ "هذا شخص سعيد", "هذا كلب سعيد", "هذا شخص سعيد جدا", "اليوم هو يوم مشمس" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use sayed0am/sn-xlm-roberta-base-snli-mnli-anli-xnli-onnx with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("sayed0am/sn-xlm-roberta-base-snli-mnli-anli-xnli-onnx") model = AutoModelForMultimodalLM.from_pretrained("sayed0am/sn-xlm-roberta-base-snli-mnli-anli-xnli-onnx")
