Instructions to use Aktsvigun/bart-large_aeslc_4837 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-large_aeslc_4837 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-large_aeslc_4837") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-large_aeslc_4837", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c8c8b923300db0d564145f1b0ce522f99e13e2d69d59ddc2b6902b767e1c54e6
- Size of remote file:
- 1.63 GB
- SHA256:
- b2539865211a19f819ecc113942d72c82cc56fc3d82d47cd647e85eddac22e5b
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