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T5-L128-belarusian – AI Model by WelfCrozzo | AlphaNeural AI

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WelfCrozzo/
T5-L128-belarusian

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0

text2text-generation

WelfCrozzo/kupalinka

text-generation-inference

endpoints_compatible

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T5 for belarusian language

model image

This model is based on T5-small with sequence length equal 128 tokens. Model trained from scratch on RTX 3090 24GB.

Supported tasks:

translation BE to RU: <extra_id_1>
translation BE to EN: <extra_id_2>
translation RU to BE: <extra_id_3>
translation RU to EN: <extra_id_5>
translation EN to BE: <extra_id_6>
translation EN to RU: <extra_id_7>

Metrics:

evel/BLEU
evel/loss
train/loss

How to Get Started with the Model

Click to expand

python

from transformers import T5TokenizerFast, T5ForConditionalGeneration

tokenizer = T5TokenizerFast.from_pretrained("WelfCrozzo/T5-L128-belarusian")
model = T5ForConditionalGeneration.from_pretrained("WelfCrozzo/T5-L128-belarusian")

x = tokenizer.encode('<extra_id_1>да зорак праз цяжкасці', return_tensors='pt')

result = model.generate(x, return_dict_in_generate=True, output_scores=True,max_length=128)
print(tokenizer.decode(result["sequences"][0]))

References

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer