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:
- 597d5f66590b07c29fa4f2c13a41e57334c199a7189a711ce4348192346faf1e
- Size of remote file:
- 496 MB
- SHA256:
- 67e2d38b18a04aff7e0ccabbc4f1b22f00dd8ea60d2d64de1d20280e8a732d67
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