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:
- 79153d06f5e77d70bf10156bcb0ea116bcbd7230e8d17bc27875cf0bfad5e182
- Size of remote file:
- 3.06 kB
- SHA256:
- 20314c92a853d24f553dbc981a894b23b81608f890beab2baed15bdb491c4bbf
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