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celalkartoglu/xlmr-multihead-tr
xlmr-multihead-tr is a machine learning model from celalkartoglu. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
- Base: xlm-roberta-base - Tasks: Intent classification (60 sınıf), NER (BIO) - Dosyalar: pytorchmodel.bin, config.json, tokenizer., labelschemes.json, modelingxlmrmultihead.py
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Updated Sep 1, 2025
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From the Hugging Face model README
xlm-roberta-basepytorch_model.bin, config.json, tokenizer.*, label_schemes.json, modeling_xlmr_multihead.pyfrom 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()