Instructions to use joostgrunwald/MetRuBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joostgrunwald/MetRuBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joostgrunwald/MetRuBert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joostgrunwald/MetRuBert") model = AutoModelForMaskedLM.from_pretrained("joostgrunwald/MetRuBert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 426 Bytes
6245c6f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | from setuptools import setup, find_packages
setup(
name='MetRubert',
version='1.0',
packages=find_packages(),
install_requires=[
'torch>=1.6.0',
'transformers>=4.2.2'
],
classifiers=[
'Programming Language :: Python :: 3',
'License :: OSI Approved :: GNU General Public License v3.0',
'Operating System :: OS Independent',
],
python_requires='>=3.7',
)
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