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:
- 40a8c0cc8150d4302085de62fe4104fce1b57d0ad3512a009488fe2aa9a00269
- Size of remote file:
- 1.2 kB
- SHA256:
- 8c582188b10b10c26c7e491b2abaf83db0f2c81ff7aba152dd6ab96a940b573b
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