GATE Repo
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Models and Dataset for Gate Paper Sumbission • 6 items • Updated
How to use LLMXperts/GATE-AraBert-v1 with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("LLMXperts/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 LLMXperts/GATE-AraBert-v1 with Transformers:
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("LLMXperts/GATE-AraBert-v1")
model = AutoModel.from_pretrained("LLMXperts/GATE-AraBert-v1")