Instructions to use uclanlp/plbart-multi_task-go with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-go with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-go") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-go", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-go: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-go/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-go/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-go/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 998143d3fb1121891616b904ce7e01e22622325b94462ac0335088cb9925b2e3
- Size of remote file:
- 557 MB
- SHA256:
- 7c16e174fe8599535de0ece787f169c1ad0550689c2d4932c004e1a1778f106b
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