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license: apache-2.0 |
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A seq2seq event triggers and entities tagger trained on the dataset: `ahmeshaf/ecb_plus_ed` |
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## Usage |
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Input: |
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```shell |
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triggers: I like this model and hate this sentence |
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``` |
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Output: |
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```shell |
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like | hate |
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``` |
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- Python |
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```python |
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model = T5ForConditionalGeneration.from_pretrained(model_name) |
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tokenizer = T5Tokenizer.from_pretrained(model_name) |
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generation_config = GenerationConfig.from_pretrained(model_name) |
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tokenized_inputs = tokenizer(["triggers: I like this model and hate this sentence ."], return_tensors="pt") |
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outputs = model.generate(**tokenized_inputs, generation_config=generation_config) |
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print(outputs) |
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\# ["like | hate"] |
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``` |
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