Token Classification
Transformers
Safetensors
Azerbaijani
xlm-roberta
ner
multilingual
azerbaijani
Eval Results (legacy)
Instructions to use ismatsamadov/xlm-roberta-az-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ismatsamadov/xlm-roberta-az-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ismatsamadov/xlm-roberta-az-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ismatsamadov/xlm-roberta-az-ner") model = AutoModelForTokenClassification.from_pretrained("ismatsamadov/xlm-roberta-az-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload XLM-RoBERTa.ipynb
Browse files- XLM-RoBERTa.ipynb +0 -0
XLM-RoBERTa.ipynb
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