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
Download lib/python3.11/site-packages/datasets-4.1.1.dist-info/top_level.txt from iamthe66epitaph/BabyAI: direct link, hf CLI and curl.
- Browser
- Download file 9 Bytes
-
https://huggingface.co/iamthe66epitaph/BabyAI/resolve/819346505a8b647371c629ea1c86618e712dcb3e/lib/python3.11/site-packages/datasets-4.1.1.dist-info/top_level.txt
- Command line
-
hf download hf://iamthe66epitaph/BabyAI@819346505a8b647371c629ea1c86618e712dcb3e/lib/python3.11/site-packages/datasets-4.1.1.dist-info/top_level.txt
-
curl -L -o top_level.txt https://huggingface.co/iamthe66epitaph/BabyAI/resolve/819346505a8b647371c629ea1c86618e712dcb3e/lib/python3.11/site-packages/datasets-4.1.1.dist-info/top_level.txt
9 Bytes
| datasets | |