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")# 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
Update eval_results.txt
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eval_results.txt
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eval_loss = 0.
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eval_precision = 0.
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eval_recall = 0.
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eval_f1 = 0.
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epoch =
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eval_loss = 0.2176993729482437
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eval_precision = 0.7553411440385941
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eval_recall = 0.7968011632133769
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eval_f1 = 0.7755174243764373
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epoch = 60.0
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