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:
- 6858616fe99e6bc30aeb0a8f148354c8838053087dbd4e2092b3d870fa54a587
- Size of remote file:
- 3.18 kB
- SHA256:
- 3e5b58df64a4ad0aa242528d16ef2847c6d7bbd53f4a62a8cfd236464cfd9aa2
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