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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("thiomajid/codebert-java-inconsistency") model = AutoModelForSequenceClassification.from_pretrained("thiomajid/codebert-java-inconsistency", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from thiomajid/codebert-java-inconsistency: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/thiomajid/codebert-java-inconsistency/resolve/main/training_args.bin
- Command line
-
hf download hf://thiomajid/codebert-java-inconsistency/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/thiomajid/codebert-java-inconsistency/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- f309d2d8c95151a31e58526e1ba9a66ef628221c0ee182791b4384611b5eb4d2
- Size of remote file:
- 5.3 kB
- SHA256:
- 396827c7d794f044de8b698823aa41b51fafab5f7f98f1fd86bdf6e1c3ac51e8
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