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:
- 8210227b8b0830c3cfc7211ca76d8427823e3b26643d111e65e216db4d783558
- Size of remote file:
- 496 MB
- SHA256:
- 73cda01fd5932a121cf6c83528096f205ecc6aceae56129112354f27477d3222
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