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1text = "Context: سعي; Char: س; Pos: 0"
2from transformers import AutoTokenizer
3
4tokenizer = AutoTokenizer.from_pretrained("pain/text2svg_summarization-2-epochs-28-step-367000")
5inputs = tokenizer(text, return_tensors="pt").input_ids
6
7from transformers import AutoModelForSeq2SeqLM
8
9model = AutoModelForSeq2SeqLM.from_pretrained("pain/text2svg_summarization-2-epochs-28-step-367000")
10outputs = model.generate(inputs, max_new_tokens=1024, do_sample=False)
11
12tok_out = tokenizer.decode(outputs[0],skip_special_tokens=True)
13tok_out