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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KoalaAI/ChatSum-Base") model = AutoModelForSeq2SeqLM.from_pretrained("KoalaAI/ChatSum-Base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KoalaAI/ChatSum-Base: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/KoalaAI/ChatSum-Base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KoalaAI/ChatSum-Base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KoalaAI/ChatSum-Base/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- cd774ef50331cb8b95bc2fc23e5e791fb489f37e2f17f05259aeabd6206b7436
- Size of remote file:
- 990 MB
- SHA256:
- 77c080079cbfe20e32ae0060f05ecd167ae5c2fb6b1ad95adefccbf68fd85e7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.