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:
- 12ec3d29021c1808447b915140967891c6b58fcb71d6413e659250757bac6803
- Size of remote file:
- 499 MB
- SHA256:
- b47ba73e9d22cd726e2b01d829e45a4c2eb511b5390e6f88fa52c81b83cf50cc
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