Instructions to use tr-aravindan/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tr-aravindan/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tr-aravindan/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tr-aravindan/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("tr-aravindan/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eb06fb56acdb3657e4f2873e2734be7e7aff566cdcdf0a1cce23184ec0bd7416
- Size of remote file:
- 4.92 kB
- SHA256:
- 1a621fa0cfd842dcae89ffaa2a42d43a0dfff9b66aa78136c99ee8937bbf90c1
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