Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use Kriyans/Bert-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kriyans/Bert-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Kriyans/Bert-NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Kriyans/Bert-NER") model = AutoModelForTokenClassification.from_pretrained("Kriyans/Bert-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Kriyans/Bert-NER: direct link, hf CLI and curl.
- Browser
- Download file 4.03 kB
-
https://huggingface.co/Kriyans/Bert-NER/resolve/refs%2Fpr%2F13/training_args.bin
- Command line
-
hf download hf://Kriyans/Bert-NER@refs/pr/13/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kriyans/Bert-NER/resolve/refs%2Fpr%2F13/training_args.bin
4.03 kB
- Xet hash:
- 5e781afbdc1771919261059080d4681dee5d67647aaa31a501ba7efb9724ca11
- Size of remote file:
- 4.03 kB
- SHA256:
- 84aed57fd5ae45f6c7a2f079b5874855862a0598c6648b6db7ed4ceb048aa043
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