Instructions to use Patcas/plbart-works with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-works with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-works") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-works", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Patcas/plbart-works: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/Patcas/plbart-works/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Patcas/plbart-works/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Patcas/plbart-works/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 10b4ee0091e29b5236ee40b20d67bba32a1a859ba9fa7cfc82416ca220ee0c99
- Size of remote file:
- 557 MB
- SHA256:
- f81076c9c4b4c6a7bb14bc4be834966e63469b9c87a327fc78940992d9d699e9
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