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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Delete graphCodeBERT_trained_model_final.pth with huggingface_hub
Browse files
graphCodeBERT_trained_model_final.pth
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:eba4742110e1c72c63641eeb6a694f211366f74f4ce99909a1e51b52b36f4b2a
|
| 3 |
-
size 498676082
|
|
|
|
|
|
|
|
|
|
|
|