Instructions to use Gnider/ruroberta_lit_classif_shit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Gnider/ruroberta_lit_classif_shit with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Gnider/ruroberta_lit_classif_shit")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Gnider/ruroberta_lit_classif_shit") model = AutoModelForMaskedLM.from_pretrained("Gnider/ruroberta_lit_classif_shit") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b2e7445246cb2e6bc014187bf48da56779a3c95f69bbfa0c14aec240ca8c83e6
- Size of remote file:
- 1.19 kB
- SHA256:
- 8be1efe88d0815235241e648facaba7826449636b1d311697631ecf7f6479e9a
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