Text Classification
Transformers
Joblib
Safetensors
multilingual
binary-classification
amis
agriculture
Instructions to use faodl/agri-wheat-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faodl/agri-wheat-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="faodl/agri-wheat-classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("faodl/agri-wheat-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download transformer/validation_predictions.csv from faodl/agri-wheat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 800 kB
-
https://huggingface.co/faodl/agri-wheat-classifier/resolve/main/transformer/validation_predictions.csv
- Command line
-
hf download hf://faodl/agri-wheat-classifier/transformer/validation_predictions.csv
-
curl -L -o validation_predictions.csv https://huggingface.co/faodl/agri-wheat-classifier/resolve/main/transformer/validation_predictions.csv
800 kB
File too large to display, you can check the raw version instead.