Instructions to use mcanoglu/bigcode-starcoderbase-1b-finetuned-defect-detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mcanoglu/bigcode-starcoderbase-1b-finetuned-defect-detection with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mcanoglu/bigcode-starcoderbase-1b-finetuned-defect-detection")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mcanoglu/bigcode-starcoderbase-1b-finetuned-defect-detection") model = AutoModelForSequenceClassification.from_pretrained("mcanoglu/bigcode-starcoderbase-1b-finetuned-defect-detection") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 0
Browse files
model.safetensors
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runs/Jan21_07-37-47_nsflthqz9c/events.out.tfevents.1705822669.nsflthqz9c.287.0
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runs/Jan21_12-32-57_nddubqhjow/events.out.tfevents.1705840378.nddubqhjow.36.0
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training_args.bin
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