Instructions to use azherali/CodeDetect-BERT-T2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azherali/CodeDetect-BERT-T2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="azherali/CodeDetect-BERT-T2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("azherali/CodeDetect-BERT-T2") model = AutoModelForSequenceClassification.from_pretrained("azherali/CodeDetect-BERT-T2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e274731cfebb3e0c8113ee7812a05990970c960d7ab338f3d13313dc3b1f8f17
- Size of remote file:
- 5.2 kB
- SHA256:
- 10b6f424dc4c3f0fd6c2a04333cf3bab56d15b7fd3877e376f47c08313bb18ee
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