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google/gemma-7b1from transformers import AutoTokenizer, AutoModelForCausalLM
2# Initialize model and tokenizer
3TEST_PROMPT = "الزرادشتية هي ديانة انتشرت في بلاد"
4save_path = "nouamanetazi/hf-ar-134000"
5tokenizer = AutoTokenizer.from_pretrained(save_path)
6input_ids = tokenizer(TEST_PROMPT, return_tensors="pt")["input_ids"].cuda() # google/gemma-7b
7print("Input prompt:", tokenizer.batch_decode(input_ids)[0])
8
9model = AutoModelForCausalLM.from_pretrained(save_path, device="cuda", dtype=torch.bfloat16)
10outputs = model.generate(input_ids, max_new_tokens=100)
11print("Generated text:", tokenizer.batch_decode(outputs)[0])