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: 401 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 25 26 27 28 | import os
import tempfile
import pickle
from mpmath import *
def pickler(obj):
fn = tempfile.mktemp()
f = open(fn, 'wb')
pickle.dump(obj, f)
f.close()
f = open(fn, 'rb')
obj2 = pickle.load(f)
f.close()
os.remove(fn)
return obj2
def test_pickle():
obj = mpf('0.5')
assert obj == pickler(obj)
obj = mpc('0.5','0.2')
assert obj == pickler(obj)
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