Instructions to use blinoff/roberta-base-russian-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blinoff/roberta-base-russian-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="blinoff/roberta-base-russian-v0")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("blinoff/roberta-base-russian-v0") model = AutoModelForMaskedLM.from_pretrained("blinoff/roberta-base-russian-v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2ef611456ce5b53669d9b61ecda29cbb5d6c142703a0fc56e051da8f3621d13b
- Size of remote file:
- 500 MB
- SHA256:
- d5a4dd8cb333b1ec33e8facd2024e97d28f8a47e6e1b2b317a62ce6fe543e8e2
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