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
| from mpmath import nstr, matrix, inf | |
| def test_nstr(): | |
| m = matrix([[0.75, 0.190940654, -0.0299195971], | |
| [0.190940654, 0.65625, 0.205663228], | |
| [-0.0299195971, 0.205663228, 0.64453125e-20]]) | |
| assert nstr(m, 4, min_fixed=-inf) == \ | |
| '''[ 0.75 0.1909 -0.02992] | |
| [ 0.1909 0.6563 0.2057] | |
| [-0.02992 0.2057 0.000000000000000000006445]''' | |
| assert nstr(m, 4) == \ | |
| '''[ 0.75 0.1909 -0.02992] | |
| [ 0.1909 0.6563 0.2057] | |
| [-0.02992 0.2057 6.445e-21]''' | |