Token Classification
Transformers
PyTorch
Safetensors
English
bert
software engineering
ner
named-entity recognition
Instructions to use taidng/wikiser-bert-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taidng/wikiser-bert-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="taidng/wikiser-bert-base")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("taidng/wikiser-bert-base") model = AutoModelForTokenClassification.from_pretrained("taidng/wikiser-bert-base") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
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oid sha256:ad1ff920951ad0650c05677c7099cf893f85325ec5f600ec6e75defb928715c1
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size 430983148
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