Instructions to use leukas/mt5-small-nc16-250k-deen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leukas/mt5-small-nc16-250k-deen 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="leukas/mt5-small-nc16-250k-deen")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("leukas/mt5-small-nc16-250k-deen") model = AutoModelForSeq2SeqLM.from_pretrained("leukas/mt5-small-nc16-250k-deen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K