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wnet-def-plt5large
clarin-knext/wnet-def-plt5large
wnet-def-plt5large is a machine learning model from clarin-knext. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
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At a glance
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- t5
- Access
- Public
- Created
- Jan 15, 2024
- Updated
- Jan 15, 2024
- SHA
- 52810206
Model card
From the Hugging Face model README
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))
- Library
- transformers
- Type
- t5
- License
- cc-by-sa-4.0
- Created
- Jan 15, 2024
- Updated
- Jan 15, 2024