Tabular Regression
Transformers
Safetensors
yield-weather-soil
feature-extraction
crop-yield
multi-temporal
regression
yield-estimation
custom_code
Instructions to use Sarikaa-Sridhar/yield-estimation-transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sarikaa-Sridhar/yield-estimation-transformer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Sarikaa-Sridhar/yield-estimation-transformer", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| import json | |
| from transformers import pipeline | |
| with open(f"sample_input_daily.json", "r") as f: | |
| sample = json.load(f) | |
| pipe = pipeline( | |
| "yield-estimation", | |
| model=".", | |
| trust_remote_code=True, | |
| ) | |
| out = pipe(sample) | |
| print(json.dumps(out, indent=2)) | |