Instructions to use PSW/bart-base-dialogsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/bart-base-dialogsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/bart-base-dialogsum") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/bart-base-dialogsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/bart-base-dialogsum: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/PSW/bart-base-dialogsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/bart-base-dialogsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/bart-base-dialogsum/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- b2d3d1518a2764f37ecaaa98d557c36866c9f69490a62fd9c4f357aefde40dba
- Size of remote file:
- 558 MB
- SHA256:
- b684938d0155acde0483a303eac6c053d5c73888229f045efa29a594a837dbce
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.