madlad400-3b-mt

385.7K
159
3.0B
417 languages
Q4
license:apache-2.0
by
google
Language Model
OTHER
3B params
Good
386K downloads
Production-ready
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Edge AI:
Mobile
Laptop
Server
7GB+ RAM
Mobile
Laptop
Server
Quick Summary

--- license: apache-2.

Device Compatibility

Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
3GB+ RAM

Code Examples

Running the model on a CPU or GPUpythontransformers
from transformers import T5ForConditionalGeneration, T5Tokenizer

model_name = 'jbochi/madlad400-3b-mt'
model = T5ForConditionalGeneration.from_pretrained(model_name, device_map="auto")
tokenizer = T5Tokenizer.from_pretrained(model_name)

text = "<2pt> I love pizza!"
input_ids = tokenizer(text, return_tensors="pt").input_ids.to(model.device)
outputs = model.generate(input_ids=input_ids)

tokenizer.decode(outputs[0], skip_special_tokens=True)
# Eu adoro pizza!

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