Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use Tiara20123/autotrain-khb4p-o47yc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tiara20123/autotrain-khb4p-o47yc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tiara20123/autotrain-khb4p-o47yc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tiara20123/autotrain-khb4p-o47yc") model = AutoModelForSequenceClassification.from_pretrained("Tiara20123/autotrain-khb4p-o47yc") - Notebooks
- Google Colab
- Kaggle
- Downloads last month
- 4
Model tree for Tiara20123/autotrain-khb4p-o47yc
Base model
google-bert/bert-base-uncased