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1from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
2
3# Load model and tokenizer
4tokenizer = AutoTokenizer.from_pretrained("GudeGudeEgg/iput_3rd_DL_theme_2_level1", token='your_token')
5model = AutoModelForSeq2SeqLM.from_pretrained("GudeGudeEgg/iput_3rd_DL_theme_2_level1", token='your_token')
6
7# Translate
8def translate_en_to_fr(text):
9 inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
10 generated_tokens = model.generate(**inputs, max_length=128)
11 return tokenizer.decode(generated_tokens[0], skip_special_tokens=True)
12
13# Example
14result = translate_en_to_fr("The cat is sleeping")
15print(result) # Should output French translation