Translation
Transformers
Safetensors
Lezghian
Russian
m2m_100
text2text-generation
nllb
lezgi
russian
Instructions to use vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1 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="vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1") model = AutoModelForSeq2SeqLM.from_pretrained("vadim-pashaev/nllb-200-distilled-600M-lez-rus-v1") - Notebooks
- Google Colab
- Kaggle
Ctrl+K