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:
- c4a75d6a8b6a73aa2b8cab60acd2b128faa1d39d77799287ee5f4458db011d4c
- Size of remote file:
- 431 MB
- SHA256:
- 5bdcdbf1ea3788ecd8b3ed6d53cf86f1a2197e38ccc31cdfca47b46d2f7b665c
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