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
| __all__ = [ | |
| "Audio", | |
| "Array2D", | |
| "Array3D", | |
| "Array4D", | |
| "Array5D", | |
| "ClassLabel", | |
| "Features", | |
| "LargeList", | |
| "List", | |
| "Sequence", | |
| "Value", | |
| "Image", | |
| "Translation", | |
| "TranslationVariableLanguages", | |
| "Video", | |
| "Pdf", | |
| ] | |
| from .audio import Audio | |
| from .features import Array2D, Array3D, Array4D, Array5D, ClassLabel, Features, LargeList, List, Sequence, Value | |
| from .image import Image | |
| from .pdf import Pdf | |
| from .translation import Translation, TranslationVariableLanguages | |
| from .video import Video | |