Text Classification
Transformers
PyTorch
distilbert
classification
Generated from Trainer
text-embeddings-inference
Instructions to use cedomin/Task1a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cedomin/Task1a with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cedomin/Task1a")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cedomin/Task1a") model = AutoModelForSequenceClassification.from_pretrained("cedomin/Task1a") - Notebooks
- Google Colab
- Kaggle
Training complete
Browse files- pytorch_model.bin +1 -1
- tokenizer.json +14 -2
- training_args.bin +1 -1
pytorch_model.bin
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tokenizer.json
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training_args.bin
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