Instructions to use harsh13333/ner_bert_uncased_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harsh13333/ner_bert_uncased_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="harsh13333/ner_bert_uncased_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("harsh13333/ner_bert_uncased_model") model = AutoModelForTokenClassification.from_pretrained("harsh13333/ner_bert_uncased_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Training in progress, epoch 27
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Training in progress, epoch 19
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Training in progress, epoch 10
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Training in progress, epoch 1
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initial commit
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