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
| # -*- coding: utf-8 -*- | |
| import sys | |
| try: | |
| from ._version import version as __version__ | |
| except ImportError: | |
| __version__ = 'unknown' | |
| __all__ = ['easter', 'parser', 'relativedelta', 'rrule', 'tz', | |
| 'utils', 'zoneinfo'] | |
| def __getattr__(name): | |
| import importlib | |
| if name in __all__: | |
| return importlib.import_module("." + name, __name__) | |
| raise AttributeError( | |
| "module {!r} has not attribute {!r}".format(__name__, name) | |
| ) | |
| def __dir__(): | |
| # __dir__ should include all the lazy-importable modules as well. | |
| return [x for x in globals() if x not in sys.modules] + __all__ | |