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
| import os | |
| import platform | |
| NO_EXTENSIONS = bool(os.environ.get("MULTIDICT_NO_EXTENSIONS")) | |
| PYPY = platform.python_implementation() == "PyPy" | |
| USE_EXTENSIONS = not NO_EXTENSIONS and not PYPY | |
| if USE_EXTENSIONS: | |
| try: | |
| from . import _multidict # type: ignore[attr-defined] # noqa: F401 | |
| except ImportError: # pragma: no cover | |
| # FIXME: Refactor for coverage. See #837. | |
| USE_EXTENSIONS = False | |