Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use ocm/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ocm/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ocm/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ocm/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ocm/bert-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files
pytorch_model.bin
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runs/Mar19_09-25-08_7194d0ca4cbb/1679218037.5854905/events.out.tfevents.1679218037.7194d0ca4cbb.4457.1
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training_args.bin
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