Instructions to use Dizex/FoodBaseBERT-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dizex/FoodBaseBERT-NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Dizex/FoodBaseBERT-NER")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Dizex/FoodBaseBERT-NER") model = AutoModelForTokenClassification.from_pretrained("Dizex/FoodBaseBERT-NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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datasets:
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- Dizex/FoodBase
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examples:
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license: mit
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---
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# FoiodBaseBERT
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datasets:
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- Dizex/FoodBase
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examples:
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- I like apples
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tags:
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- FoodBase
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- NER
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license: mit
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---
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# FoiodBaseBERT
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