library_name: transformers base_model:
- facebook/nllb-200-distilled-600M pipeline_tag: translation language:
- tr
- ota
Model Card for Model ID
Model Details
Model Description
Latince Türkçeyi , Osmanlıca arap alfabeli aslına çeviren yapay zeka modeli üzerinde çalışmaların ilk somut modeli. Temel yapıları içeriyor , NLLB üzerinden finetuning ile mevcut tokenization imkanlarından faydalanılma amaçlandı. Tabi ki henüz bir çok hata içeriyor ve 2. versiyonda Allah'ın izniyle hepsi halledilmiş olacak. Nihai hedef sadece Latince değil, tüm dilleri direk kadim Türkçe'ye çevirebilmek. Gayret bizden, Tevfik Allahü Teala'dan.
Demo Çeviri: لاتدینجه توركچايي ، اوسمانليجه اراپ الفابلي اسلينه چويرن ياپاي زكه مودلي أوزرنده چالیشمه لرين إیلك سوموت مودلي. تمل ياپيلاري إیچرييور ، نلب اوزريندن فينتونينك ایله موجود توكنيزاسيون إیمكانلاريندان فائدەلانيلمه اماچلاندي. تابي كي هنوز بر چوق هاته إیچرييور و ٢. ورسييونده اللّٰه 'نڭ إیزنييله هپسي هآلدیلميش اولاجق. نيهاي هدف سادەجه لاتدینجه دگل، توم ديلري ديرك كآدیم توركچايه چويربيلمك. كايرت بيزدن، توفيك اللّٰه سی تيلادان.
- Developed by: Mesut SEZER
- Funded by [optional]: [More Information Needed]
- Shared by [optional]: Mesut SEZER
- Model type: Transformer ve Ctranslate2
- Language(s) (NLP): src_lang="tur_Latn", tgt_lang="ota_Arab"
- License: [More Information Needed]
- Finetuned from model [optional]: NLLB
Model Sources [optional]
- Repository: [More Information Needed]
- Paper [optional]: [More Information Needed]
- Demo [optional]: Yakında
Uses
Direct Use
[More Information Needed]
Downstream Use [optional]
[More Information Needed]
Out-of-Scope Use
[More Information Needed]
Bias, Risks, and Limitations
[More Information Needed]
Recommendations
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
How to Get Started with the Model
Use the code below to get started with the model.
[More Information Needed]
Training Details
Training Data
[More Information Needed]
Training Procedure
Preprocessing [optional]
[More Information Needed]
Training Hyperparameters
- Training regime: [More Information Needed]
Speeds, Sizes, Times [optional]
[More Information Needed]
Evaluation
Testing Data, Factors & Metrics
Testing Data
[More Information Needed]
Factors
[More Information Needed]
Metrics
[More Information Needed]
Results
[More Information Needed]
Summary
Model Examination [optional]
[More Information Needed]
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: [More Information Needed]
- Hours used: [More Information Needed]
- Cloud Provider: [More Information Needed]
- Compute Region: [More Information Needed]
- Carbon Emitted: [More Information Needed]
Technical Specifications [optional]
Model Architecture and Objective
[More Information Needed]
Compute Infrastructure
[More Information Needed]
Hardware
[More Information Needed]
Software
[More Information Needed]
Citation [optional]
BibTeX:
[More Information Needed]
APA:
[More Information Needed]
Glossary [optional]
[More Information Needed]
More Information [optional]
[More Information Needed]
Model Card Authors [optional]
[More Information Needed]
Model Card Contact
E-posta : mesutsezer@outlook_com
- Downloads last month
- 7
Model tree for Kotek37/nllb-tur-latin-ottoman
Base model
facebook/nllb-200-distilled-600M