Token Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Nguyens/bert-finetuned-ner-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nguyens/bert-finetuned-ner-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Nguyens/bert-finetuned-ner-accelerate")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Nguyens/bert-finetuned-ner-accelerate") model = AutoModelForTokenClassification.from_pretrained("Nguyens/bert-finetuned-ner-accelerate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (b70a54bcb762dfffabe62a168a03f83175041998) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>f10bf8f
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Training in progress epoch 2
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Training complete
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Training in progress, epoch 3
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Training in progress, epoch 2
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Training in progress, epoch 1
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initial commit
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