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:
- a4c711d2ab2dd0dc8046489f5ab7144bf3045ba4e863ca2c3e4ff27be457824b
- Size of remote file:
- 5.2 kB
- SHA256:
- 26170ff2d75562c83f88182ac9301ad3566752c384b38d15219d8c3352efbebb
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