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:
- f744773d1828493cd6831e305544ec7dfdc5c07b7667597fdc70337f88a6a621
- Size of remote file:
- 5.2 kB
- SHA256:
- d052a78a205856b0fb5f7f6bf70bfa1f4e42f119d70cd50149db16fae6be9220
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