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clarin-knext/
wnet-def-plt5large

Name: wnet-def-plt5large
Availability: InStock

text-generation-inference

endpoints_compatible

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Model generates definitions of the word given context.

How to use model:

from transformers import pipeline
generator = pipeline("text2text-generation", model = 'clarin-knext/wnet-def-plt5large', use_auth_token=True)
generator("komik: Poszedłem dzisiaj na kabaret i był tam śmieszny komik.")

[{'generated_text': 'człowiek , który lubi żartować i rozśmieszać innych . '}]

model = T5ForConditionalGeneration.from_pretrained("clarin-knext/wnet-def-plt5large", use_auth_token=True)
tokenizer = T5TokenizerFast.from_pretrained("clarin-knext/wnet-def-plt5large", use_auth_token=True)

input_ids = tokenizer("samochód: po drodze jedzie samochód", return_tensors="pt").input_ids
outputs = model.generate(input_ids)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))