Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use celestara/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use celestara/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="celestara/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("celestara/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("celestara/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e35bf4ee31e897326d346c99c437b7771b13243ea959ac8c986bcbf454ed3ce
- Size of remote file:
- 5.84 kB
- SHA256:
- fac0a94cb4960419580bb258933afd781e4d0de7272ac230aa70ad05801b40dd
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