Instructions to use iamthe66epitaph/BabyAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use iamthe66epitaph/BabyAI with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="iamthe66epitaph/BabyAI")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("iamthe66epitaph/BabyAI", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| """Module contains the :class:`.Separator` class.""" | |
| class Separator: | |
| """A non selectable choice that can be used as part of the choices argument in list type prompts. | |
| It can be used to create some visual separations between choices in list type prompts. | |
| Args: | |
| line: Content to display as the separator. | |
| Example: | |
| >>> from InquirerPy import inquirer | |
| >>> choices = [1, 2, Separator(), 3] | |
| >>> inquirer.select(message="", choices=choices) | |
| """ | |
| def __init__(self, line: str = 15 * "-") -> None: | |
| self._line = line | |
| def __str__(self) -> str: | |
| """Create string representation of `Separator`.""" | |
| return self._line | |