Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use nicoheiniger/bert-ner-custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicoheiniger/bert-ner-custom with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nicoheiniger/bert-ner-custom")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nicoheiniger/bert-ner-custom") model = AutoModelForTokenClassification.from_pretrained("nicoheiniger/bert-ner-custom", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signatured11ec1e -
Training in progress, epoch 3
Verified signaturea5140ec -
Training in progress, epoch 2
Verified signature039bd99 -
Training in progress, epoch 1
Verified signature77ebe09
-
Training in progress, epoch 3
Verified signature140b43d -
Training in progress, epoch 3
Verified signature41cbe4f -
Training in progress, epoch 2
Verified signaturef1cc949 -
Training in progress, epoch 1
Verified signature9fc6969 -
initial commit
Verified signature87adcf8