Text Classification
Transformers
Safetensors
yield-weather-soil
crop-yield
multi-temporal
regression
yield-estimation
custom_code
Instructions to use ICICLE-AI/yield-estimation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ICICLE-AI/yield-estimation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ICICLE-AI/yield-estimation", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("ICICLE-AI/yield-estimation", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 962 Bytes
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- id: "YieldEstimationTransformer:0.1.0"
owner: "Sarikaa Sridhar"
primaryThrust: "useInspired/DA"
name: "Yield Estimation Transformer"
status: "AlphaRelease"
description: >
A transformer-based model for county-level corn yield estimation using
multi-temporal weekly weather observations and 66 static soil properties.
It produces yield estimates in bushels per acre at seasonal cutoffs from
week 20 through week 52, and is packaged as a Hugging Face model for
deployment through FlexServ.
componentVersion: "0.1.0"
targetIcicleRelease: "2026-08"
hasDependentComponents:
- related_to: "FlexServInference:1.4.0"
relationship_type: "DependsOn"
licenseUrl: "https://huggingface.co/ICICLE-AI/yield-estimation/blob/main/LICENSE"
publicAccess: true
sourceCodeUrl: "https://huggingface.co/ICICLE-AI/yield-estimation"
testsWritten: false
developerDocumentationAvailable: false
trainingTutorialsAvailable: true
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