How to use Omartificial-Intelligence-Space/GATE-AraBert-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Omartificial-Intelligence-Space/GATE-AraBert-v1") sentences = [ "امرأة تكتب شيئاً", "مراهق يتحدث إلى فتاة عبر كاميرا الإنترنت", "امرأة تقطع البصل الأخضر.", "مجموعة من كبار السن يتظاهرون حول طاولة الطعام." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use Omartificial-Intelligence-Space/GATE-AraBert-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Omartificial-Intelligence-Space/GATE-AraBert-v1")
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Omartificial-Intelligence-Space/GATE-AraBert-v1") model = AutoModel.from_pretrained("Omartificial-Intelligence-Space/GATE-AraBert-v1", device_map="auto")
