Token Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Eval Results (legacy)
Instructions to use m0saan/bert-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use m0saan/bert-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="m0saan/bert-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("m0saan/bert-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("m0saan/bert-finetuned-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 17d8024e6805a3c82e120edeae780aafb1826f066446ac196af8afefbe4c9016
- Size of remote file:
- 3.96 kB
- SHA256:
- 20e9e86a622b997fb33771a7977c515279b31731ffa7005eaf94914564712a1c
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