Instructions to use bayartsogt/roberta-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bayartsogt/roberta-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bayartsogt/roberta-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bayartsogt/roberta-base-ner") model = AutoModelForTokenClassification.from_pretrained("bayartsogt/roberta-base-ner") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7622ff91a79450ba2b2dfee9d23c80f56ceca152499d68036b3d92ec3aaf5067
- Size of remote file:
- 3.18 kB
- SHA256:
- dfab2461a2cdfe3631326515f44e9b805b5438c1b729acfc2ceabbd5beefcf72
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