Token Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use sayed99/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sayed99/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sayed99/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sayed99/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("sayed99/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 699641beb020b6dd191aec38389465d41d10e73e5d3bb620991069298e469684
- Size of remote file:
- 5.37 kB
- SHA256:
- c855dd06daf9e838fb9125f30f0c7b60101aa0c4ab043f897ce9cd8c8787ce5c
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