Instructions to use ldos/text_shortening_model_v66 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ldos/text_shortening_model_v66 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ldos/text_shortening_model_v66") model = AutoModelForSeq2SeqLM.from_pretrained("ldos/text_shortening_model_v66") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca4a6c14538ec6dd7b1ecfcb5e94cd488745b7cd900fbdb9922dd1659814b003
- Size of remote file:
- 4.16 kB
- SHA256:
- 812d1419b151ac14041ff431e5ae6475200b48ceeaf736a7704fcf5ed44a16f5
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