Instructions to use fadliaulawi/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fadliaulawi/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="fadliaulawi/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("fadliaulawi/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("fadliaulawi/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3282279bc9ed7ea075a9d0700318a4c95caabd0e1fe72855c22ead697d658201
- Size of remote file:
- 3.96 kB
- SHA256:
- e07680f49ab631b2117a7846bd302ce8b36d9b67f3a1f6770a2de04b080965af
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