Instructions to use timo/timo-BART-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timo/timo-BART-german with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("timo/timo-BART-german") model = AutoModelForSeq2SeqLM.from_pretrained("timo/timo-BART-german", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52539013043a1ba3db89e500fe9de8c05b561b4169d383ae477838f079c69e62
- Size of remote file:
- 1.63 GB
- SHA256:
- 41e6ef50a585b5be195c4f743f5f975adda4d2d7e412aff6abf143fdda89fdab
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