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:
- 05621e3dcb6a415f9f294f5fc877de397da8962bb7eda2e9b423a0a82da15930
- Size of remote file:
- 438 MB
- SHA256:
- 0b46e26f865be9d33abe4bb94ed62ea8055dac5543a5957115f9c6372a54e2ef
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