Transformers
PyTorch
Safetensors
English
t5
text2text-generation
chat
summary
text-generation-inference
Instructions to use KoalaAI/ChatSum-Small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KoalaAI/ChatSum-Small with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KoalaAI/ChatSum-Small") model = AutoModelForSeq2SeqLM.from_pretrained("KoalaAI/ChatSum-Small") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c5c32bda8a763f95109a1f16e8d2710432a44c665f9fac75a6f6a5b48d335afe
- Size of remote file:
- 308 MB
- SHA256:
- 1aa39c4c322a72b3e15a4995698c36da253f52e9b5ea2d9210e5f0e2b4970ad0
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