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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 55cf3a86c0f32a7e16af6a53222315171593598d761e5ced55dce9052ccc95a5
- Size of remote file:
- 2.22 GB
- SHA256:
- cd40f5b113902e4d4d3cafce7879adf4a0cd4adc135b994b1df34ea3f00be36d
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