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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1562915bb436cf8982186624b0a4411ccdd993da4ad0daa0b6ab06d708bcc720
- Size of remote file:
- 1.33 GB
- SHA256:
- 40893edebca7b93c66016c81c094c08fd2440da42f1953a16112ae937810b3b1
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