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README.md
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language:
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- en
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metrics:
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- accuracy
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pipeline_tag: text-classification
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---
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language:
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- en
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tags:
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- intent-recognition
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- text-classification
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- crop-recommendation
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- price-prediction
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metrics:
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- accuracy
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pipeline_tag: text-classification
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---
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# Intent Recognition Model
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This model is designed for **intent recognition** in crop recommendation and price prediction.
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It uses **Natural Language Processing (NLP)** techniques to classify user input into different intents.
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## 📌 Usage
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To use this model, download the `.pkl` files and load them using Python.
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```python
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from huggingface_hub import hf_hub_download
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import pickle
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# Load the model and vectorizer
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model_path = hf_hub_download(repo_id="<your-username>/<your-model-name>", filename="intent_model.pkl")
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vectorizer_path = hf_hub_download(repo_id="<your-username>/<your-model-name>", filename="vectorizer.pkl")
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with open(model_path, "rb") as f:
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model = pickle.load(f)
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with open(vectorizer_path, "rb") as f:
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vectorizer = pickle.load(f)
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print("Model and vectorizer successfully loaded!")
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