Text Classification
Transformers
Joblib
Safetensors
multilingual
binary-classification
amis
agriculture
Instructions to use faodl/agri-utilization-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faodl/agri-utilization-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="faodl/agri-utilization-classifier")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("faodl/agri-utilization-classifier", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3dc2ccd673f88fa80176977c2d52e9bb267750ae9573e78173f0fc2e7ce1ddbd
- Size of remote file:
- 2.22 GB
- SHA256:
- 813a9eada2227d678ee2f1ad4e6845267dd29400b17b776c2acee8cf1ee5c447
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