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metadata
license: apache-2.0

A seq2seq event triggers tagger trained on the dataset: maven ere

Usage

Input:

triggers: I like this model and hate this sentence

Output:

like | hate
  • Python
from transformers import GenerationConfig, T5ForConditionalGeneration, T5Tokenizer

model_name = "ahmeshaf/maven_ere_trigger_seq2seq"

model = T5ForConditionalGeneration.from_pretrained(model_name)
tokenizer = T5Tokenizer.from_pretrained(model_name)
generation_config = GenerationConfig.from_pretrained(model_name)

tokenized_inputs = tokenizer(["triggers: I like this model and hate this sentence ."], return_tensors="pt")
outputs = model.generate(**tokenized_inputs, generation_config=generation_config)

print(outputs)

# ["like | hate"]