Instructions to use 51la5/bert-large-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 51la5/bert-large-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="51la5/bert-large-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("51la5/bert-large-NER") model = AutoModelForTokenClassification.from_pretrained("51la5/bert-large-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 31f32ac5141649857e79120012da8e7a5faa796ac7663002cd6965194d44738b
- Size of remote file:
- 1.33 GB
- SHA256:
- d63d39520929bbeab16344157582be46f09a3ab43095b14f1b1586636a50f171
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