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
- Xet hash:
- 40f2307744a43295cf42df77423cf32f6640e566c10e6a0192036ccc4a1554ec
- Size of remote file:
- 3.01 MB
- SHA256:
- 78887ebf432cbf1038a9d20f09be55341600cc9166b6155e7db700989a3204c1
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