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:
- f79923e4d5d444f508c8d8745054f1e68bc48a2d7cdaa05ef5e18638ba900886
- Size of remote file:
- 2.22 GB
- SHA256:
- 3f7c157642ceff1bead8f220f3da380ca04221176168b33506a0fc6af8f44063
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