Text Classification
Transformers
PyTorch
JAX
roberta
code_x_glue_cc_defect_detection
code
security
vulnerability-detection
codebert
apache-2.0
Instructions to use mangsense/codebert_java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mangsense/codebert_java with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mangsense/codebert_java")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mangsense/codebert_java") model = AutoModelForSequenceClassification.from_pretrained("mangsense/codebert_java", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from mangsense/codebert_java: direct link, hf CLI and curl.
- Browser
- Download file 150 Bytes
-
https://huggingface.co/mangsense/codebert_java/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://mangsense/codebert_java/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/mangsense/codebert_java/resolve/main/special_tokens_map.json
150 Bytes
| {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": "<mask>"} |