Instructions to use MichaHenh/cil-ordinal-regression-seed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MichaHenh/cil-ordinal-regression-seed2 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("xlm-roberta-base") model = PeftModel.from_pretrained(base_model, "MichaHenh/cil-ordinal-regression-seed2") - Transformers
How to use MichaHenh/cil-ordinal-regression-seed2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MichaHenh/cil-ordinal-regression-seed2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "artifacts": { | |
| "thresholds": [ | |
| 0.495849609375, | |
| 1.49755859375, | |
| 2.4873046875, | |
| 3.5341796875 | |
| ] | |
| }, | |
| "decoder": "tuned_thresholds", | |
| "objective": "regression", | |
| "rho": [ | |
| 0.05, | |
| 0.05, | |
| 0.05, | |
| 0.05, | |
| 0.05 | |
| ], | |
| "tau": [ | |
| 0.6, | |
| 0.6, | |
| 0.6, | |
| 0.6, | |
| 0.6 | |
| ] | |
| } |