flaubert-base-uncased-finetuned-cooking
| Property | Value |
|---|---|
| Author | nbouali |
| Task | Recipe Classification |
| Base Model | FlauBERT-base-uncased |
| Language | French |
What is flaubert-base-uncased-finetuned-cooking?
This is a specialized French language model based on FlauBERT, fine-tuned specifically for classifying French cooking recipes into eight distinct categories. The model represents a significant advancement in automated recipe classification, capable of understanding and categorizing cooking instructions with high precision.
Implementation Details
The model leverages the FlauBERT architecture and has been fine-tuned for sequence classification tasks. It processes French recipe text and assigns it to one of eight categories: Accompagnement, Amuse-gueule, Boisson, Confiserie, Dessert, Entrée, Plat principal, or Sauce. Implementation is straightforward using the Transformers library from Hugging Face.
- Built on FlauBERT base uncased architecture
- Optimized for French recipe classification
- Uses TextClassificationPipeline for inference
- Outputs probability scores for category predictions
Core Capabilities
- Accurate classification of French recipes into 8 categories
- High-confidence predictions (example shows 0.99+ confidence)
- Efficient processing of French culinary text
- Simple integration with Transformers pipeline
Frequently Asked Questions
Q: What makes this model unique?
This model is specifically designed for French recipe classification, making it highly specialized for culinary applications. Its ability to categorize recipes into eight distinct categories with high confidence makes it particularly valuable for food-related applications and content organization.
Q: What are the recommended use cases?
The model is ideal for recipe websites, cooking apps, and digital cookbook platforms that need to automatically categorize French recipes. It can be used for content organization, recipe database management, and automated recipe tagging systems.
