Instructions to use Patcas/plbart-docs-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Patcas/plbart-docs-v3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Patcas/plbart-docs-v3") model = AutoModelForSeq2SeqLM.from_pretrained("Patcas/plbart-docs-v3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Patcas/plbart-docs-v3: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/Patcas/plbart-docs-v3/resolve/main/model.safetensors
- Command line
-
hf download hf://Patcas/plbart-docs-v3/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Patcas/plbart-docs-v3/resolve/main/model.safetensors
557 MB
- Xet hash:
- 3cc4a0111a6e6c8df08e7fcf8f8295a4876766e4064d9c4e87fcc822c6e9fc9c
- Size of remote file:
- 557 MB
- SHA256:
- 2b7ad546fd31d809e74356c2a56f88bf2d8d30efcad99e7f641088c48927ca79
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