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MODEL_CARD.md

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+---
+language: English
+license: apache-2.0
+tags:
+  - text-classification
+  - bert
+  - fine-tuned
+  - recipe-bot
+datasets: []
+metrics: []
+---
+
+# recipe-bert
+
+A small fine-tuned BERT model for demonstration (trained on a tiny sample). Replace with your real dataset for production.
+
+## Model description
+- Base model: bert-base-uncased
+- Task: binary text classification
+- Training: quick 1-epoch smoke run (demo)
+
+## How to use
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
+
+model_id = "x2-world/recipe-bert"
+tokenizer = AutoTokenizer.from_pretrained(model_id)
+model = AutoModelForSequenceClassification.from_pretrained(model_id)
+clf = pipeline('text-classification', model=model, tokenizer=tokenizer)
+print(clf('The pizza was great'))
+```
+
+## Limitations
+This model was trained on an extremely small synthetic dataset—do not use in production.