---
license: apache-2.0
---
A seq2seq event triggers and entities tagger trained on the dataset: `ahmeshaf/ecb_plus_ed`

## Usage

Input:
  ```shell
  triggers: I like this model and hate this sentence
  ```

Output:
  ```shell
  like | hate
  ```

- Python
  
```python
  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"]
```