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 /aiohttp /_websocket /reader_c.cpython-311-aarch64-linux-gnu.so
- Xet hash:
- 107c3716cdbb2dff5034f3892109d3e328d216fa6ab702eb710021eca50daec3
- Size of remote file:
- 1.91 MB
- SHA256:
- 327808051e3592f9fa9afa1cd8a04d4a7ddeb4b670413cf618ae596ae5a762dc
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