Instructions to use AMindToThink/code-detection-confound-checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AMindToThink/code-detection-confound-checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AMindToThink/code-detection-confound-checkpoints", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Upload python_raw_ce/model.bin with huggingface_hub
Browse files- python_raw_ce/model.bin +3 -0
python_raw_ce/model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d9afd8bed482d844b20ae8bfafe5c765305af4cddd28bec4604f3eb0e0da11e9
|
| 3 |
+
size 503795087
|