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:
- dd16bdfca6298fe6d75cfc0710e14d7bff8b52d738feac6bd7773522ba2ab0f3
- Size of remote file:
- 990 MB
- SHA256:
- 2c0e33828581c7f17275d6372be011619cb0087b802d0a8be5a120a64cc982e9
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