| You can also manually replicate the results of the pipeline if you'd like: | |
| Tokenize the text and return the input_ids as PyTorch tensors: | |
| from transformers import AutoTokenizer | |
| tokenizer = AutoTokenizer.from_pretrained("stevhliu/my_awesome_billsum_model") | |
| inputs = tokenizer(text, return_tensors="pt").input_ids | |
| Use the [~transformers.generation_utils.GenerationMixin.generate] method to create the summarization. |