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
| """ | |
| 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 | |
| """ | |