| from transformers import pipeline | |
| classifier = pipeline("pair-classification", model="sgugger/finetuned-bert-mrpc") | |
| Then we can share it on the Hub by using the save_pretrained method in a Repository: | |
| from huggingface_hub import Repository | |
| repo = Repository("test-dynamic-pipeline", clone_from="{your_username}/test-dynamic-pipeline") | |
| classifier.save_pretrained("test-dynamic-pipeline") | |
| repo.push_to_hub() | |
| This will copy the file where you defined PairClassificationPipeline inside the folder "test-dynamic-pipeline", | |
| along with saving the model and tokenizer of the pipeline, before pushing everything into the repository | |
| {your_username}/test-dynamic-pipeline. |