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:
- 967388caa3957dfe30e34f92ca854a67e93ea62f591a749a66d4165b6e2e27da
- Size of remote file:
- 110 kB
- SHA256:
- 2bc04d726f7410adf9cde05cf803f6bf8482ebf755489b405bcbfe73684bc78b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.