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 exceptions that will be raised by `InquirerPy`.""" | |
| class InvalidArgument(Exception): | |
| """Provided argument is invalid. | |
| Args: | |
| message: Exception message. | |
| """ | |
| def __init__(self, message: str = "invalid argument"): | |
| self._message = message | |
| super().__init__(self._message) | |
| class RequiredKeyNotFound(Exception): | |
| """Missing required keys in dictionary. | |
| Args: | |
| message: Exception message. | |
| """ | |
| def __init__(self, message="required key not found"): | |
| self.message = message | |
| super().__init__(self.message) | |