| Simple call on one item: | |
| thon | |
| pipe = pipeline("text-classification") | |
| pipe("This restaurant is awesome") | |
| [{'label': 'POSITIVE', 'score': 0.9998743534088135}] | |
| If you want to use a specific model from the hub you can ignore the task if the model on | |
| the hub already defines it: | |
| thon | |
| pipe = pipeline(model="FacebookAI/roberta-large-mnli") | |
| pipe("This restaurant is awesome") | |
| [{'label': 'NEUTRAL', 'score': 0.7313136458396912}] | |
| To call a pipeline on many items, you can call it with a list. |