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
File size: 1,030 Bytes
8193465 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | """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
|