Translation
Transformers
PyTorch
Safetensors
Belarusian
bart
text2text-generation
seq2seq
lemmatisation
Instructions to use djulian13/be-tiny-bart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djulian13/be-tiny-bart 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="djulian13/be-tiny-bart")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("djulian13/be-tiny-bart") model = AutoModelForSeq2SeqLM.from_pretrained("djulian13/be-tiny-bart") - Notebooks
- Google Colab
- Kaggle