Transformers
PyTorch
m2m_100
text2text-generation
Summarization
abstractive summarization
multilingual summarization
m2m100_418M
Czech
text2text generation
text generation
Instructions to use ctu-aic/m2m100-418M-multilingual-summarization-multilarge-cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ctu-aic/m2m100-418M-multilingual-summarization-multilarge-cs with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ctu-aic/m2m100-418M-multilingual-summarization-multilarge-cs") model = AutoModelForSeq2SeqLM.from_pretrained("ctu-aic/m2m100-418M-multilingual-summarization-multilarge-cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K