Instructions to use Borsa356/costum_dataset_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Borsa356/costum_dataset_3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Borsa356/costum_dataset_3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Borsa356/costum_dataset_3") model = AutoModelForSequenceClassification.from_pretrained("Borsa356/costum_dataset_3") - Notebooks
- Google Colab
- Kaggle
Model Card for Model ID
Training Details
Training Data
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Training Procedure
Preprocessing [optional]
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Training Hyperparameters
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Speeds, Sizes, Times [optional]
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Evaluation
Testing Data, Factors & Metrics
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