Instructions to use Aktsvigun/bart-large_aeslc_705525 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aktsvigun/bart-large_aeslc_705525 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Aktsvigun/bart-large_aeslc_705525") model = AutoModelForSeq2SeqLM.from_pretrained("Aktsvigun/bart-large_aeslc_705525", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 10b0bc882ef27f6b30fefee208a8f5dd5f7a5fab2955aa882dec06b392c3bdfc
- Size of remote file:
- 1.63 GB
- SHA256:
- bab0dfe2941fd1e45a90b00433d0c28775eb2416414ac2216f1db358070e3747
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