Text Classification
Transformers
PyTorch
English
code
code-classification
graphcodebert
ai-generated-content-detection
Instructions to use FFFFAHHH/NPC_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FFFFAHHH/NPC_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="FFFFAHHH/NPC_model")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("FFFFAHHH/NPC_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70945f2273bf5723d8aa8c48f6c6da19030f1c7bfa79ab4d24ac41820d294232
- Size of remote file:
- 499 MB
- SHA256:
- eba4742110e1c72c63641eeb6a694f211366f74f4ce99909a1e51b52b36f4b2a
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