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)# 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
Download training_code/training/__init__.py from ICICLE-AI/yield-estimation: direct link, hf CLI and curl.
- Browser
- Download file 0 Bytes
-
https://huggingface.co/ICICLE-AI/yield-estimation/resolve/main/training_code/training/__init__.py
- Command line
-
hf download hf://ICICLE-AI/yield-estimation/training_code/training/__init__.py
-
curl -L -o __init__.py https://huggingface.co/ICICLE-AI/yield-estimation/resolve/main/training_code/training/__init__.py
0 Bytes