Transformers
PyTorch
Czech
Czech
mbart
text2text-generation
Summarization
abstractive summarization
mbart-cc25
Czech
Instructions to use krotima1/mbart-ht2a-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krotima1/mbart-ht2a-cs with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("krotima1/mbart-ht2a-cs") model = AutoModelForSeq2SeqLM.from_pretrained("krotima1/mbart-ht2a-cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened over 3 years ago
by
SFconvertbot