Instructions to use buelfhood/CodeBERT_TrBCB_ChaFT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use buelfhood/CodeBERT_TrBCB_ChaFT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="buelfhood/CodeBERT_TrBCB_ChaFT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("buelfhood/CodeBERT_TrBCB_ChaFT") model = AutoModelForSequenceClassification.from_pretrained("buelfhood/CodeBERT_TrBCB_ChaFT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
80252f8 | 1 2 3 | - Code Clone Bench
- FineTuner
--num_epochs 1 --train_batch_size 16 --eval_batch_size 16 --learning_rate 1e-5 --mixed_precision fp16 |