Instructions to use NchuNLP/Agriculture-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NchuNLP/Agriculture-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NchuNLP/Agriculture-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NchuNLP/Agriculture-Classification") model = AutoModelForSequenceClassification.from_pretrained("NchuNLP/Agriculture-Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b8cbdfe70b984389ffbae9c53e6416489fae180ce95f943e6f18e841ad7b8a76
- Size of remote file:
- 409 MB
- SHA256:
- 88f773b4a468a30f546a86e44d6a9928fc80075021c56a6431a4d31b0af4caa7
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