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/training_args.bin from faodl/agri-wheat-classifier: direct link, hf CLI and curl.
- Browser
- Download file 5.27 kB
-
https://huggingface.co/faodl/agri-wheat-classifier/resolve/main/transformer/training_args.bin
- Command line
-
hf download hf://faodl/agri-wheat-classifier/transformer/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/faodl/agri-wheat-classifier/resolve/main/transformer/training_args.bin
5.27 kB
- Xet hash:
- 13b7ffe10fae87ebabbe1aa6c8761f4d69360bab0cffdcc6138e42813deecb6e
- Size of remote file:
- 5.27 kB
- SHA256:
- ad6f33c2b51fa383f7ec28e16f5b3fe2bf41c0a6a27a9c136fc4163f2fd2af84
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