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: 331 Bytes
8193465 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | """
fsspec user-defined exception classes
"""
import asyncio
class BlocksizeMismatchError(ValueError):
"""
Raised when a cached file is opened with a different blocksize than it was
written with
"""
class FSTimeoutError(asyncio.TimeoutError):
"""
Raised when a fsspec function timed out occurs
"""
|