Instructions to use warleagle/ruRoberta-large-mlm_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use warleagle/ruRoberta-large-mlm_tuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="warleagle/ruRoberta-large-mlm_tuned")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("warleagle/ruRoberta-large-mlm_tuned") model = AutoModelForMaskedLM.from_pretrained("warleagle/ruRoberta-large-mlm_tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from warleagle/ruRoberta-large-mlm_tuned: direct link, hf CLI and curl.
- Browser
- Download file 3.93 MB
-
https://huggingface.co/warleagle/ruRoberta-large-mlm_tuned/resolve/main/tokenizer.json
- Command line
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hf download hf://warleagle/ruRoberta-large-mlm_tuned/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/warleagle/ruRoberta-large-mlm_tuned/resolve/main/tokenizer.json
3.93 MB
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