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rufeshe/
ethio-ner-model

Name: ethio-ner-model
Availability: InStock

safetensors

xlm-roberta

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library_name: transformers tags:

amharic
ner
token-classification
xlm-roberta

Ethio NER Model

Fine-tuned Amharic Named Entity Recognition (NER) model based on XLM-Roberta. Built for extracting entities from Telegram-based e-commerce messages.

Usage

python

from transformers import AutoTokenizer, AutoModelForTokenClassification, pipeline

tokenizer = AutoTokenizer.from_pretrained("rufeshe/ethio-ner-model")
model = AutoModelForTokenClassification.from_pretrained("rufeshe/ethio-ner-model")

nlp = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple")

text = "አዋስማርት በአዲስ ሲስተም ላይ አዳዲስ ሞዴሎችን አመጣ።"
print(nlp(text))
Training Details
Base model: xlm-roberta-base

Data: Cleaned Telegram messages from Ethiopian e-commerce channels

Framework: 🤗 Transformers

Metrics: F1 score, Precision, Recall

Model Card
Developed by: [Your Name]
Shared by: [Your Organization]
License: Apache-2.0
Language: Amharic (am)

Contact
For feedback or questions, reach out at zerufeshetu121@gmail.com