---
language:
- en
tags:
- intent-recognition
- text-classification
- crop-recommendation
- price-prediction
metrics:
- accuracy
pipeline_tag: text-classification
---

# Intent Recognition Model

This model is designed for **intent recognition** in crop recommendation and price prediction.  
It uses **Natural Language Processing (NLP)** techniques to classify user input into different intents.

## 📌 Usage

To use this model, download the `.pkl` files and load them using Python.

```python
from huggingface_hub import hf_hub_download
import pickle

# Load the model and vectorizer
model_path = hf_hub_download(repo_id="<your-username>/<your-model-name>", filename="intent_model.pkl")
vectorizer_path = hf_hub_download(repo_id="<your-username>/<your-model-name>", filename="vectorizer_intent.pkl")

with open(model_path, "rb") as f:
    model = pickle.load(f)

with open(vectorizer_path, "rb") as f:
    vectorizer = pickle.load(f)

print("Model and vectorizer successfully loaded!")