Instructions to use kaimeng/abstractOnly100k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kaimeng/abstractOnly100k with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("kaimeng/abstractOnly100k") model = AutoModelForSeq2SeqLM.from_pretrained("kaimeng/abstractOnly100k", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12acd2fdd32283833f2a7711fa69cfa06acf313986ca326a9544e0b658afd277
- Size of remote file:
- 4.09 kB
- SHA256:
- 26913bcb551560686b79011d72df2e3317da0071352138c0032ab1776a585ed9
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