Text Classification
Transformers
PyTorch
Safetensors
Enawené-Nawé
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use trung0209/Bert_large_Rumi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trung0209/Bert_large_Rumi with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trung0209/Bert_large_Rumi")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("trung0209/Bert_large_Rumi") model = AutoModelForSequenceClassification.from_pretrained("trung0209/Bert_large_Rumi") - Notebooks
- Google Colab
- Kaggle
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