Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use thiomajid/codebert-java-inconsistency with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thiomajid/codebert-java-inconsistency with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="thiomajid/codebert-java-inconsistency")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thiomajid/codebert-java-inconsistency") model = AutoModelForSequenceClassification.from_pretrained("thiomajid/codebert-java-inconsistency") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 728dfbc3e4fac988db80e54390231560c0249def7143956e16ce5f9fb47354ef
- Size of remote file:
- 2.09 kB
- SHA256:
- 7bbfad49b471d12f06e6da00e0bb0742dc3ac939672f945fffd19c204e9dfd4b
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