Text Generation
PEFT
Safetensors
English
coreference-resolution
ner
entity-extraction
qwen3
lora
conversational
Instructions to use wjbmattingly/Qwen3-8B-Coref-NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use wjbmattingly/Qwen3-8B-Coref-NER with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-8B") model = PeftModel.from_pretrained(base_model, "wjbmattingly/Qwen3-8B-Coref-NER") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 524507fb15d41ca678f8c50b570ec6772af14770d85dd588bd8a4f1274279275
- Size of remote file:
- 5.59 kB
- SHA256:
- 37d8efe0593d9b11bf440e19ce9e027f4c1a8f145ce1ea5ceedafeb64107093d
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