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
| from typing import Any | |
| class FrozenError(AttributeError): | |
| msg: str = ... | |
| class FrozenInstanceError(FrozenError): ... | |
| class FrozenAttributeError(FrozenError): ... | |
| class AttrsAttributeNotFoundError(ValueError): ... | |
| class NotAnAttrsClassError(ValueError): ... | |
| class DefaultAlreadySetError(RuntimeError): ... | |
| class UnannotatedAttributeError(RuntimeError): ... | |
| class PythonTooOldError(RuntimeError): ... | |
| class NotCallableError(TypeError): | |
| msg: str = ... | |
| value: Any = ... | |
| def __init__(self, msg: str, value: Any) -> None: ... | |