Instructions to use Nhckdvrl/cvis-ablate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nhckdvrl/cvis-ablate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Nhckdvrl/cvis-ablate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
List a4_fixed_images/round_3 in the score table
Browse files
README.md
CHANGED
|
@@ -17,6 +17,7 @@ Layout: `<experiment>/round_<N>/` contains the safetensors shards, config, token
|
|
| 17 |
| --- | --- | --- | --- | --- | --- |
|
| 18 |
| a4_fixed_images | 1 | 50.66% | 81.80% | 68.67% | `a4_fixed_images/round_1` |
|
| 19 |
| a4_fixed_images | 2 | 51.64% | 82.60% | 68.44% | `a4_fixed_images/round_2` |
|
|
|
|
| 20 |
| c1_no_history | 1 | 53.29% | 82.60% | 69.22% | `c1_no_history/round_1` |
|
| 21 |
| c1_no_history | 2 | 53.29% | 82.40% | 69.00% | `c1_no_history/round_2` |
|
| 22 |
| c1_no_history | 3 | 54.28% | 83.20% | 70.11% | `c1_no_history/round_3` |
|
|
|
|
| 17 |
| --- | --- | --- | --- | --- | --- |
|
| 18 |
| a4_fixed_images | 1 | 50.66% | 81.80% | 68.67% | `a4_fixed_images/round_1` |
|
| 19 |
| a4_fixed_images | 2 | 51.64% | 82.60% | 68.44% | `a4_fixed_images/round_2` |
|
| 20 |
+
| a4_fixed_images | 3 | 53.95% | 82.80% | 68.22% | `a4_fixed_images/round_3` |
|
| 21 |
| c1_no_history | 1 | 53.29% | 82.60% | 69.22% | `c1_no_history/round_1` |
|
| 22 |
| c1_no_history | 2 | 53.29% | 82.40% | 69.00% | `c1_no_history/round_2` |
|
| 23 |
| c1_no_history | 3 | 54.28% | 83.20% | 70.11% | `c1_no_history/round_3` |
|