How to use danfeg/ArabicBERT_Finetuned-FR-1500 with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("danfeg/ArabicBERT_Finetuned-FR-1500") sentences = [ "That is a happy person", "That is a happy dog", "That is a very happy person", "Today is a sunny day" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4]
How to use danfeg/ArabicBERT_Finetuned-FR-1500 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("danfeg/ArabicBERT_Finetuned-FR-1500") model = AutoModel.from_pretrained("danfeg/ArabicBERT_Finetuned-FR-1500", device_map="auto")
https://huggingface.co/danfeg/ArabicBERT_Finetuned-FR-1500/resolve/7133fd44e5267a6c02017c8ede9623e2459fc3cb/tokenizer.json
hf download hf://danfeg/ArabicBERT_Finetuned-FR-1500@7133fd44e5267a6c02017c8ede9623e2459fc3cb/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/danfeg/ArabicBERT_Finetuned-FR-1500/resolve/7133fd44e5267a6c02017c8ede9623e2459fc3cb/tokenizer.json
