Instructions to use mrm8488/RuPERTa-base-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/RuPERTa-base-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="mrm8488/RuPERTa-base-finetuned-ner")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/RuPERTa-base-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("mrm8488/RuPERTa-base-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (8244013cdd85cd3ea52fe89e19e7b734552f5c2b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>8bcfa07
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/mrm8488/RuPERTa-base-finetuned-ner/README.md5c98468
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