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:
- 87243fc523189942d4149e39f6a7e74e48b7edaa7204deef32a8ad46f3699598
- Size of remote file:
- 2.22 GB
- SHA256:
- 689c019a35a3b07613661189234eef12454ec5f3efac37409895ed61c11a7f3a
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