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
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library_name: transformers
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tags:
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- transformers
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- agriculture
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*National Science Foundation (NSF) AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), Award OAC-2112606.*
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pipeline_tag: tabular-regression
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````markdown
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---
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tags:
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- transformers
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- agriculture
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*National Science Foundation (NSF) AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), Award OAC-2112606.*
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```
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```
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