metadata
license: apache-2.0
A seq2seq event triggers and entities tagger trained on the dataset: ahmeshaf/ecb_plus_ed
Usage
Input:
triggers: I like this model and hate this sentence
Output:
like | hate
- Python
model_name = "ahmeshaf/ecb_tagger_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"]