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
| """Reader for WebSocket protocol versions 13 and 8.""" | |
| from typing import TYPE_CHECKING | |
| from ..helpers import NO_EXTENSIONS | |
| if TYPE_CHECKING or NO_EXTENSIONS: # pragma: no cover | |
| from .reader_py import ( | |
| WebSocketDataQueue as WebSocketDataQueuePython, | |
| WebSocketReader as WebSocketReaderPython, | |
| ) | |
| WebSocketReader = WebSocketReaderPython | |
| WebSocketDataQueue = WebSocketDataQueuePython | |
| else: | |
| try: | |
| from .reader_c import ( # type: ignore[import-not-found] | |
| WebSocketDataQueue as WebSocketDataQueueCython, | |
| WebSocketReader as WebSocketReaderCython, | |
| ) | |
| WebSocketReader = WebSocketReaderCython | |
| WebSocketDataQueue = WebSocketDataQueueCython | |
| except ImportError: # pragma: no cover | |
| from .reader_py import ( | |
| WebSocketDataQueue as WebSocketDataQueuePython, | |
| WebSocketReader as WebSocketReaderPython, | |
| ) | |
| WebSocketReader = WebSocketReaderPython | |
| WebSocketDataQueue = WebSocketDataQueuePython | |