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
BabyAI / lib /python3.11 /site-packages /mpmath /tests /__pycache__ /test_functions2.cpython-311.pyc
- Xet hash:
- 33a409947d8ba18e186f877411a20968aebc069b079acc874c71c7a262b46ec1
- Size of remote file:
- 173 kB
- SHA256:
- 14cc7e948432e2e28ad53c758b1c0772a98ec4eb507b329c889b899d70439d7b
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