Instructions to use uclanlp/plbart-multi_task-interpreted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-interpreted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-interpreted") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-interpreted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-interpreted: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-interpreted/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-interpreted/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-interpreted/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- e26aaafbf1d40800a6ea794fa20d78f2b7168b2bcba39415cb1f851a7037c8bd
- Size of remote file:
- 557 MB
- SHA256:
- e2809ec47937b9a280cad4655c922dc5f7e56b8fbe85f769768091c90fd875dd
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