Instructions to use Xenova/bart-large-cnn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers.js
How to use Xenova/bart-large-cnn with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('summarization', 'Xenova/bart-large-cnn');
Download onnx/decoder_with_past_model_quantized.onnx from Xenova/bart-large-cnn: direct link, hf CLI and curl.
- Browser
- Download file 231 MB
-
https://huggingface.co/Xenova/bart-large-cnn/resolve/main/onnx/decoder_with_past_model_quantized.onnx
- Command line
-
hf download hf://Xenova/bart-large-cnn/onnx/decoder_with_past_model_quantized.onnx
-
curl -L -o decoder_with_past_model_quantized.onnx https://huggingface.co/Xenova/bart-large-cnn/resolve/main/onnx/decoder_with_past_model_quantized.onnx
231 MB
- Xet hash:
- d0ceff6d75854affec2e27c0488149676f59f9d890541d72d0b2de05a12c9777
- Size of remote file:
- 231 MB
- SHA256:
- e8e8a8b67b5cc287398e1b018495a82264babe2db2806c18265f63ebd37f4cfe
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.