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bert-uncased-keyword-extractor

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.1247
• Precision: 0.8547
• Recall: 0.8825
• Accuracy: 0.9741
• F1: 0.8684

Use a pipeline as a high-level helper

from transformers import pipeline

pipe = pipeline("token-classification", model="Azma-AI/bert-uncased-keyword-extractor")

Load model directly

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("Azma-AI/bert-uncased-keyword-extractor")
model = AutoModelForTokenClassification.from_pretrained("Azma-AI/bert-uncased-keyword-extractor")