Token Classification
Transformers
Safetensors
Indonesian
English
xlm-roberta
named-entity-recognition
indonesian
english
multilingual
social-media
Instructions to use nahiar/xlm-roberta-ner-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahiar/xlm-roberta-ner-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="nahiar/xlm-roberta-ner-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("nahiar/xlm-roberta-ner-v2") model = AutoModelForTokenClassification.from_pretrained("nahiar/xlm-roberta-ner-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5f9f1f5f5730666a496bda44807c49f1fb0c8a04ace285216a3df2b447ea93b9
- Size of remote file:
- 4.11 kB
- SHA256:
- 91f533062cf0e513b4b5f74f2b4ca6b7ee9f692f9d7d972515905b0516d2278e
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