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%2F21/training_args.bin
- Command line
-
hf download hf://Kriyans/Bert-NER@refs/pr/21/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kriyans/Bert-NER/resolve/refs%2Fpr%2F21/training_args.bin
4.03 kB
- Xet hash:
- 13d754b73b8754f56fab8a535bca5fd3c8d135e547c488b21a6eeafafa88a5b8
- Size of remote file:
- 4.03 kB
- SHA256:
- 102260870fef1478d399120db19845da9ebd59de15c047ac930edc8377c3cac0
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