Instructions to use azherali/CodeDetect-BERT-T1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use azherali/CodeDetect-BERT-T1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="azherali/CodeDetect-BERT-T1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("azherali/CodeDetect-BERT-T1") model = AutoModelForSequenceClassification.from_pretrained("azherali/CodeDetect-BERT-T1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 844725e1f870e8cb5431955c79b53c74dcf78974574ac7831cfe73f84f976e69
- Size of remote file:
- 5.2 kB
- SHA256:
- a5736e880ad0057f7497be8b3a6ab5151cb6cd11d75e158f73356ec72189f696
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