Instructions to use Ratansingh648/pizza-ner2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ratansingh648/pizza-ner2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ratansingh648/pizza-ner2")# Load model directly from transformers import AutoTokenizer, PizzaNER tokenizer = AutoTokenizer.from_pretrained("Ratansingh648/pizza-ner2") model = PizzaNER.from_pretrained("Ratansingh648/pizza-ner2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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# Pizza NER
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This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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