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---
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_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"]
```
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