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:
- 3c6eb022ec0963f33573a4c9fa0fa1de2ed8ef4bb136d8654884baab913540c6
- Size of remote file:
- 958 Bytes
- SHA256:
- e127a45516ee46200c831603557ed5951f73443c8d7ac09c921e1ef125c09fad
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.