Token Classification
Transformers
PyTorch
TensorBoard
Safetensors
Mongolian
roberta
Generated from Trainer
Instructions to use bayartsogt/roberta-base-ner-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/roberta-base-ner-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bayartsogt/roberta-base-ner-demo")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bayartsogt/roberta-base-ner-demo") model = AutoModelForTokenClassification.from_pretrained("bayartsogt/roberta-base-ner-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 261c528e9cb086fea130581ce884a6250266b90313c133ba0d2dd8f909086790
- Size of remote file:
- 496 MB
- SHA256:
- 4fa16ffdba06fe63ef5c50704516509134b09b3b1cbf706e0ce8eb91f2abe832
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