Instructions to use TokenBender/circuit-discovery with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TokenBender/circuit-discovery with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TokenBender/circuit-discovery", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Add legacy results archive checksum
Browse files
circuit-shotting/artifacts/legacy/pre_issue12_results_data/qwen25_math_1p5b_legacy_results_data_pre_issue12_20260426.tar.gz.sha256
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:452638c07d4e26a79bbec6261d41b4c97398abda98171e48aa0597a475e2caaf
|
| 3 |
+
size 191
|