Instructions to use Swaticuh/mistral-crop-yield-prediction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Swaticuh/mistral-crop-yield-prediction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Swaticuh/mistral-crop-yield-prediction")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Swaticuh/mistral-crop-yield-prediction", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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Model tree for Swaticuh/mistral-crop-yield-prediction
Base model
mistralai/Mistral-7B-Instruct-v0.2