Instructions to use MichaHenh/cil-ordinal-ce-seed2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use MichaHenh/cil-ordinal-ce-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-ce-seed2") - Transformers
How to use MichaHenh/cil-ordinal-ce-seed2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MichaHenh/cil-ordinal-ce-seed2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 205 Bytes
16d429a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | {
"artifacts": {},
"decoder": "bayes_mae",
"objective": "classification",
"rho": [
0.05,
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0.05,
0.05,
0.05
],
"tau": [
0.6,
0.6,
0.6,
0.6,
0.6
]
} |