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| Metric | Score |
|---|---|
| Macro F1 | 0.8092 |
| Micro F1 | 0.8565 |
| Weighted F1 | 0.8531 |
| Macro Precision | 0.8657 |
| Macro Recall | 0.7697 |
1from transformers import AutoModelForSequenceClassification, AutoTokenizer
2import torch
3
4model = AutoModelForSequenceClassification.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
5tokenizer = AutoTokenizer.from_pretrained("Hacktrix-121/deberta-v3-base-opp115-multilabel-v2")
6
7text = "Your input text here"
8inputs = tokenizer(text, return_tensors="pt")
9logits = model(**inputs).logits
10probs = torch.sigmoid(logits)