Text Classification
Transformers
PyTorch
TensorBoard
bert
classification
Generated from Trainer
text-embeddings-inference
Instructions to use cedomin/Task1a_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cedomin/Task1a_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cedomin/Task1a_class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cedomin/Task1a_class") model = AutoModelForSequenceClassification.from_pretrained("cedomin/Task1a_class") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files
pytorch_model.bin
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runs/Mar30_16-33-11_8276449bb554/1680194012.0474195/events.out.tfevents.1680194012.8276449bb554.21590.3
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training_args.bin
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