Instructions to use hugo/secret-project-ms-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hugo/secret-project-ms-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hugo/secret-project-ms-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("hugo/secret-project-ms-2") model = AutoModelForSequenceClassification.from_pretrained("hugo/secret-project-ms-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| step,epoch,msmarco_mrr | |
| 20000.0,0.0,0.3343 | |
| 40000.0,0.0,0.3589 | |
| 60000.0,0.0,0.3612 | |
| 80000.0,0.0,0.3663 | |
| 100000.0,0.0,0.3803 | |
| 120000.0,0.0,0.3505 | |
| 140000.0,0.0,0.3513 | |
| 160000.0,0.0,0.3818 | |
| 180000.0,0.0,0.3902 | |
| 200000.0,0.0,0.3932 | |
| 220000.0,0.0,0.3928 | |
| 240000.0,0.0,0.4007 | |
| 260000.0,0.0,0.3835 | |
| 280000.0,0.0,0.4024 | |
| 300000.0,0.0,0.3744 | |
| 320000.0,0.0,0.3941 | |
| 340000.0,0.0,0.362 | |
| 360000.0,0.0,0.4083 | |
| 380000.0,0.0,0.4108 | |
| 400000.0,0.0,0.4091 | |
| 420000.0,0.0,0.406 | |
| 440000.0,0.0,0.3607 | |
| 460000.0,0.0,0.4147 | |
| 480000.0,0.0,0.3961 | |
| 500000.0,0.0,0.4119 | |
| 520000.0,0.0,0.4065 | |
| 540000.0,0.0,0.4009 | |
| 560000.0,0.0,0.4148 | |
| 580000.0,0.0,0.3864 | |
| 600000.0,0.0,0.4176 | |
| 620000.0,0.0,0.3552 | |
| 640000.0,0.0,0.43 | |
| 660000.0,0.0,0.417 | |
| 680000.0,0.0,0.4027 | |
| 700000.0,0.0,0.4168 | |
| 720000.0,0.0,0.4219 | |
| 740000.0,0.0,0.4015 | |
| 760000.0,0.0,0.43 | |
| 780000.0,0.0,0.4025 | |