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
File size: 319 Bytes
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"decoder": "tuned_thresholds",
"objective": "regression",
"rho": [
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"tau": [
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} |