Token Classification
Transformers
PyTorch
Safetensors
English
bert
software engineering
ner
named-entity recognition
Instructions to use taidng/wikiser-bert-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use taidng/wikiser-bert-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="taidng/wikiser-bert-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("taidng/wikiser-bert-large") model = AutoModelForTokenClassification.from_pretrained("taidng/wikiser-bert-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2171f64c7e8c787ad549d63992f569adc0c5b75dc781dfbec5dc1c17754b898a
- Size of remote file:
- 1.33 GB
- SHA256:
- 2e3a8827bee2737c3c308deb9f112d3db802522d1aab81ce7b932a08115a6fc7
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