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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_intent.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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