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")# pip install -U transformers accelerate # 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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from blinoff/roberta-base-russian-v0: direct link, hf CLI and curl.
- Browser
- Download file 498 MB
-
https://huggingface.co/blinoff/roberta-base-russian-v0/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://blinoff/roberta-base-russian-v0/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/blinoff/roberta-base-russian-v0/resolve/main/flax_model.msgpack
498 MB
- Xet hash:
- 116a446fb743758d1361452ded834a827456e9b045dce2e2075cb9a2f122ff2c
- Size of remote file:
- 498 MB
- SHA256:
- efdb7339e33add042d739326d97cc558e41fb0824ad8a13dcb1308905dbcdec7
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