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celalkartoglu/
xlmr-multihead-tr

Name: xlmr-multihead-tr
Availability: InStock

tensorboard

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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()