Instructions to use shivani05/TTC4900Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivani05/TTC4900Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="shivani05/TTC4900Model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("shivani05/TTC4900Model") model = AutoModelForSequenceClassification.from_pretrained("shivani05/TTC4900Model") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
README.md
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# TTC4900Model
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on
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It achieves the following results on the evaluation set:
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- Loss: 0.2304
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- Accuracy: 0.9341
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# TTC4900Model
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This model is a fine-tuned version of [dbmdz/bert-base-turkish-uncased](https://huggingface.co/dbmdz/bert-base-turkish-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2304
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- Accuracy: 0.9341
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