Instructions to use ahazeemi/bart-base-en-to-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ahazeemi/bart-base-en-to-de with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ahazeemi/bart-base-en-to-de") model = AutoModelForSeq2SeqLM.from_pretrained("ahazeemi/bart-base-en-to-de", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c4d647b57a0b8b7844eef646b0465ba9a1c4d0b0a887dceac21142b2015c61f
- Size of remote file:
- 558 MB
- SHA256:
- a066397b683e47590b2accd15977c38b0e3a21113f153c55fc6957b527525e22
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