| # XLM-RoBERTa Multi-Head (TR) — Intent + NER | |
| - Base: `xlm-roberta-base` | |
| - Tasks: Intent classification (60 sınıf), NER (BIO) | |
| - Dosyalar: `pytorch_model.bin`, `config.json`, `tokenizer.*`, `label_schemes.json`, `modeling_xlmr_multihead.py` | |
| ## Kullanım | |
| ```python | |
| from transformers import AutoTokenizer | |
| from modeling_xlmr_multihead import XLMRMultiHead | |
| import torch, json | |
| ckpt = "celalkartoglu/xlmr-multihead-tr" | |
| tok = AutoTokenizer.from_pretrained(ckpt) | |
| model = XLMRMultiHead(n_intent=60, n_ner=111) | |
| model.load_state_dict(torch.load("pytorch_model.bin", map_location="cpu")) | |
| model.eval() | |