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:
- 74a3d0e941874bc54627b92c53d794c71a1873bd2a25a2fddcab92a843838fff
- Size of remote file:
- 11.8 kB
- SHA256:
- 592b7dfd37f4775bb65762c215024df43ccd2750c339de5872bf313e1d84e8e9
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