Token Classification
Transformers
PyTorch
TensorFlow
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use huggingface-course/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface-course/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="huggingface-course/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("huggingface-course/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("huggingface-course/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
| timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region | |
| 2021-09-23T18:12:51,b70d58ec-f426-4cff-b5a6-0fb56c8ad185,codecarbon,314.3493254184723,0.005129899083778769,0.02437285368712552,United States,USA,new york,N,, | |