Instructions to use Suramya/Best_Model_indic_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Suramya/Best_Model_indic_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Suramya/Best_Model_indic_bert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Suramya/Best_Model_indic_bert") model = AutoModelForSequenceClassification.from_pretrained("Suramya/Best_Model_indic_bert") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 398061fbf9e0cfe6951ecedda32a293b9191340fad39c556ded871892ac95ce6
- Size of remote file:
- 5.11 kB
- SHA256:
- 236f7d518b40f254348890013aa79d178e65fe32e07010afa78d3697146325d4
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