Instructions to use Harshraj8721/agri_finetuned_model-finetuned-batch-21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harshraj8721/agri_finetuned_model-finetuned-batch-21 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Harshraj8721/agri_finetuned_model-finetuned-batch-21")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Harshraj8721/agri_finetuned_model-finetuned-batch-21") model = AutoModelForSequenceClassification.from_pretrained("Harshraj8721/agri_finetuned_model-finetuned-batch-21", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3fea74e5e83845929acd7676ae4fff1eaddf222a3c0eb22ebdde141cbdc14d9a
- Size of remote file:
- 5.37 kB
- SHA256:
- 0169eae99c3d34bc0c2d671dd28599927346402f16d308ed649fffec2a83e1f5
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