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: 644 Bytes
2216aae | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | import pytest
import numpy as np
from . import util
@pytest.mark.slow
class TestCommonBlock(util.F2PyTest):
sources = [util.getpath("tests", "src", "common", "block.f")]
def test_common_block(self):
self.module.initcb()
assert self.module.block.long_bn == np.array(1.0, dtype=np.float64)
assert self.module.block.string_bn == np.array("2", dtype="|S1")
assert self.module.block.ok == np.array(3, dtype=np.int32)
class TestCommonWithUse(util.F2PyTest):
sources = [util.getpath("tests", "src", "common", "gh19161.f90")]
def test_common_gh19161(self):
assert self.module.data.x == 0
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