Instructions to use uclanlp/plbart-multi_task-strong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-strong with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-strong") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-strong", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-strong: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-strong/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-strong/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-strong/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 3116ee57c12b4362467eb75d32a2a36f8924c9ab1aa375d7f5fa160bf4525c00
- Size of remote file:
- 557 MB
- SHA256:
- 44ef7c8fe805717a486b0d92a07292dcf063812e2954b8e9275e8d1509b38a53
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