bigscience

/

mt0-small

like 25

Can anyone help me identify why I am unable to produce translations for longer inputs? I have a dataset of long texts that I know I will have to chunk. When I am testing however, I'm not able to produce translations for long sequences that are well under the max length of the model. My code snippet is below.

# Load model directly
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM

model_name = "bigscience/mt0-small"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSeq2SeqLM.from_pretrained(model_name)

text = 'Translate the text following the colon to Spanish: I have a bunch of cats. I would like to go to the beach with them but cats do not like water. Should I take my dogs instead?'
inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=512)

translated = model.generate(**inputs, max_new_tokens=512, max_length=512)
translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)

print(translated_text)