Instructions to use AndyChiang/cdgp-csg-bart-dgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AndyChiang/cdgp-csg-bart-dgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("AndyChiang/cdgp-csg-bart-dgen") model = AutoModelForSeq2SeqLM.from_pretrained("AndyChiang/cdgp-csg-bart-dgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from AndyChiang/cdgp-csg-bart-dgen: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/AndyChiang/cdgp-csg-bart-dgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://AndyChiang/cdgp-csg-bart-dgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/AndyChiang/cdgp-csg-bart-dgen/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- 39339473e2d657eabf381ebe693e4b4266cf848ca97cbe5341113be0a1981fcc
- Size of remote file:
- 558 MB
- SHA256:
- 6cf2468e35da5c5ed6a7e82d7af99496b21f9640ab3b04a3a7115b45e46e30c1
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