Instructions to use ArBert/roberta-base-finetuned-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArBert/roberta-base-finetuned-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ArBert/roberta-base-finetuned-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ArBert/roberta-base-finetuned-ner") model = AutoModelForTokenClassification.from_pretrained("ArBert/roberta-base-finetuned-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5bc499e3bd2f796f93da0b7f6d669a8d9cb6131bd06621bf757fcec2d86b56d0
- Size of remote file:
- 2.93 kB
- SHA256:
- b84a3fe00e40d7901ce2737a3a1dc020f6b456bda44c73bf3264bc83694b3b7e
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