전체 검색

AI 모델 84759

• wav2vecbert2-filledPause↗

  classla

• waiIllustriousSDXL_v170_GGUF↗

  Coercer

• rerank-multilingual-v3.0↗

  Cohere

• ControlLight↗

  ControlLight

• Llama-2-13b-hf-neuron-tgi↗

  dacorvo

• xlm-roberta-base-ner-hrl↗

  Davlan

  Hugging Face's logo --- language: - ar - de - en - es - fr - it - lv - nl - pt - zh - multilingual --- **xlm-roberta-base-ner-hrl** is a **Named Entity Recognition** model for 10 high resourced languages (Arabic, German, English, Spanish, French, Italian, Latvian, Dutch, Portuguese and Chinese) based on a fine-tuned XLM-RoBERTa base model. It has been trained to recognize three types of entities: location (LOC), organizations (ORG), and person (PER). Specifically, this model is a *xlm-roberta-base* model that was fine-tuned on an aggregation of 10 high-resourced languages You can use this model with Transformers *pipeline* for NER. This model is limited by its training dataset of entity-annotated news articles from a specific span of time. This may not generalize well for all use cases in different domains. The training data for the 10 languages are from:

• yzma-tests↗

  deadprogram

• huihui-ai.granite-vision-3.2-2b-abliterated-GGUF↗

  DevQuasar-5

• UltraBERT-Embed-150M↗

  dmis-lab

• keys-Mac-oMLX-0.7.0.dev2-DeepSeek-V4.1-Flash-oQ3e-2b27-CED-MTP↗

  drowzeys