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, Callable | |
| _CompareWithType = Callable[[Any, Any], bool] | |
| def cmp_using( | |
| eq: _CompareWithType | None = ..., | |
| lt: _CompareWithType | None = ..., | |
| le: _CompareWithType | None = ..., | |
| gt: _CompareWithType | None = ..., | |
| ge: _CompareWithType | None = ..., | |
| require_same_type: bool = ..., | |
| class_name: str = ..., | |
| ) -> type: ... | |