Translation
Transformers
Safetensors
Northern Kurdish
Central Kurdish
English
m2m_100
text2text-generation
nllb-200
badini
kurmanji
kurdish
nlp
seq2seq
Instructions to use arkanit/badini-nllb-translator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use arkanit/badini-nllb-translator with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="arkanit/badini-nllb-translator")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("arkanit/badini-nllb-translator") model = AutoModelForSeq2SeqLM.from_pretrained("arkanit/badini-nllb-translator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K