Instructions to use anjandash/finetuned-bert-java-cmpx-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anjandash/finetuned-bert-java-cmpx-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anjandash/finetuned-bert-java-cmpx-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anjandash/finetuned-bert-java-cmpx-v1") model = AutoModelForSequenceClassification.from_pretrained("anjandash/finetuned-bert-java-cmpx-v1") - Notebooks
- Google Colab
- Kaggle
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## Finetuned BERT model on the Complexity Task
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### Complexity training data from dataset `giganticode/java-cmpx-v1`
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## Finetuned BERT model on the Complexity Task
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### Complexity training data from dataset `giganticode/java-cmpx-v1`
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language:
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- java
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license: mit
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datasets:
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- giganticode/java-cmpx-v1
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