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
File size: 544 Bytes
8193465 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | 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]'''
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