Instructions to use mrm8488/RuPERTa-base-finetuned-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RuPERTa-base-finetuned-pos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/RuPERTa-base-finetuned-pos", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base-finetuned-pos") model = AutoModelForTokenClassification.from_pretrained("mrm8488/RuPERTa-base-finetuned-pos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update training_args.bin
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:684bc080abb459243b4e5cc99958d8c6bb02a7dc8953441382059f91616a6be6
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size 956
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