| from transformers import BartTokenizer | |
| from builders import SourcesBuilder | |
| from fetchers import fetch_alpha | |
| def main(): | |
| model = fetch_alpha("overfit") | |
| tokenizer = BartTokenizer.from_pretrained("facebook/bart-base") | |
| lit2idi = [ | |
| ("my man", ""), | |
| ("hello", "") | |
| ] # just some dummy stuff | |
| srcs = SourcesBuilder(tokenizer)(lit2idi) | |
| out = model.predict(srcs=srcs) | |
| print(out) | |
| if __name__ == '__main__': | |
| main() | |