Instructions to use jonl521/modeling_simple with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonl521/modeling_simple with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jonl521/modeling_simple", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 447 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | import numpy as np
from numpy.testing import assert_equal
class TestDot:
def test_matscalar(self):
b1 = np.matrix(np.ones((3, 3), dtype=complex))
assert_equal(b1 * 1.0, b1)
def test_diagonal():
b1 = np.matrix([[1, 2], [3, 4]])
diag_b1 = np.matrix([[1, 4]])
array_b1 = np.array([1, 4])
assert_equal(b1.diagonal(), diag_b1)
assert_equal(np.diagonal(b1), array_b1)
assert_equal(np.diag(b1), array_b1)
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