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---
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!")
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