iliemihai/madlad400-3b-mt

T5ForConditionalGeneration files for the Madlad-400 3B parameter MT model.

from transformers import T5ForConditionalGeneration, T5Tokenizer, GenerationConfig
model = T5ForConditionalGeneration.from_pretrained("iliemihai/madlad400-3b-mt")
tokenizer = T5Tokenizer.from_pretrained("iliemihai/madlad400-3b-mt")

text = """The quick brown fox jumped over the laisy dog."""
input_ids = tokenizer.encode(f"<2ro> {text} </s>", return_tensors="pt")
outputs = model.generate(input_ids, 
        do_sample=True,
        early_stopping=True,
        top_p=0.92,
        top_k=50,
        temperature=0.3,
        max_length=256)
print(tokenizer.decode(outputs[0]))

**KUDOS TO jbochi FOR RELEASING THE COLAB AND CONVERSION CODE Colab to generate these files is here.