Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
named-entity-recognition
sequence-tagger-model
Instructions to use Babelscape/wikineural-multilingual-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Babelscape/wikineural-multilingual-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Babelscape/wikineural-multilingual-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Babelscape/wikineural-multilingual-ner") model = AutoModelForTokenClassification.from_pretrained("Babelscape/wikineural-multilingual-ner") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2f16e1f46ecf56bfcc48a5f575e47301a2cc171442ed346f299db2f35bae305d
- Size of remote file:
- 709 MB
- SHA256:
- a9e728df32b1f53af6899388547c4dcadbe5d5ce1b316c88216778d65afebd85
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