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:
- 57ed24a38c3144dcaf3caeef421e79eb0b4ae468ab20c286e24bcc264c79e083
- Size of remote file:
- 308 MB
- SHA256:
- 3cf781df4536423acd370036d4e85e31f57b07832ec4b63db93a1073f6d4d2a3
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