Token Classification
Transformers
PyTorch
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Jorgeutd/bert-large-uncased-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Jorgeutd/bert-large-uncased-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Jorgeutd/bert-large-uncased-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Jorgeutd/bert-large-uncased-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("Jorgeutd/bert-large-uncased-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8144e49e61b3ab4e45cc14f003bb8eb24da99ec5a2ce1c2d9ab120ccfad48b15
- Size of remote file:
- 1.34 GB
- SHA256:
- ead05787b3fc747f65ce89ef226dd4018f6ac87fa5292f52fa28cc2b3c734a8f
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