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
Ctrl+K
- InquirerPy
- MarkupSafe-3.0.2.dist-info
- PyYAML-6.0.2.dist-info
- __pycache__
- _distutils_hack
- _multiprocess
- _yaml
- accelerate-1.10.1.dist-info
- accelerate
- aiohappyeyeballs-2.6.1.dist-info
- aiohappyeyeballs
- aiohttp-3.12.15.dist-info
- aiohttp
- aiosignal-1.4.0.dist-info
- aiosignal
- attr
- attrs-25.3.0.dist-info
- attrs
- certifi-2025.8.3.dist-info
- certifi
- charset_normalizer-3.4.3.dist-info
- charset_normalizer
- datasets-4.1.1.dist-info
- datasets
- dateutil
- dill-0.4.0.dist-info
- dill
- filelock-3.19.1.dist-info
- filelock
- frozenlist-1.7.0.dist-info
- frozenlist
- fsspec-2025.9.0.dist-info
- fsspec
- functorch
- hf_xet-1.1.10.dist-info
- hf_xet
- huggingface_hub-0.35.0.dist-info
- huggingface_hub
- idna-3.10.dist-info
- idna
- inquirerpy-0.3.4.dist-info
- jinja2-3.1.6.dist-info
- jinja2
- markupsafe
- mpmath-1.3.0.dist-info
- mpmath
- multidict-6.6.4.dist-info
- multidict
- multiprocess-0.70.16.dist-info
- multiprocess