Transformers
PyTorch
Safetensors
English
t5
text2text-generation
chat
summary
text-generation-inference
Instructions to use KoalaAI/ChatSum-Base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/ChatSum-Base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KoalaAI/ChatSum-Base") model = AutoModelForSeq2SeqLM.from_pretrained("KoalaAI/ChatSum-Base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 23043c7c9ac36adedea949821e797fce584a49e7bfe08678a3f15870c9533bc5
- Size of remote file:
- 990 MB
- SHA256:
- 987ee709ff08199b5a1538233e4bb68dcdfcef1d221e683fa84c4bfd3ec420a2
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