Instructions to use kaimeng/abstractOnly1k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaimeng/abstractOnly1k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kaimeng/abstractOnly1k") model = AutoModelForSeq2SeqLM.from_pretrained("kaimeng/abstractOnly1k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6c486e76228d9374464de84099892f5c8c73d6391db0a75f1bd00b461f381508
- Size of remote file:
- 4.09 kB
- SHA256:
- ab165dca474780bab69eb5933f81e655ca3f7a8a6e23fb0106fabadc70e54c49
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