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 5.11 kB
-
https://huggingface.co/Kriyans/Bert-NER/resolve/main/training_args.bin
- Command line
-
hf download hf://Kriyans/Bert-NER/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Kriyans/Bert-NER/resolve/main/training_args.bin
5.11 kB
- Xet hash:
- 20b1a1da85eec2882bc6cc15270b337bbdc1b1c25454270a4f0f78c5bd8a5d6c
- Size of remote file:
- 5.11 kB
- SHA256:
- 5a79edc31a7c48833ded10d49da67f35d8b0ed5bdbdf294e906da01b8860f3be
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