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 /accelerate /utils /__pycache__ /dataclasses.cpython-311.pyc
- Xet hash:
- b03db2d11a18554273028501c0351587f9adf321a09af1ca4c43713a0510ff37
- Size of remote file:
- 153 kB
- SHA256:
- d7f20b5617a5243b1b80a3be61657ed3d00e7647d6fcb83c780f8f5ca82e8e94
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