Instructions to use uclanlp/plbart-multi_task-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use uclanlp/plbart-multi_task-all with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("uclanlp/plbart-multi_task-all") model = AutoModelForSeq2SeqLM.from_pretrained("uclanlp/plbart-multi_task-all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from uclanlp/plbart-multi_task-all: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/uclanlp/plbart-multi_task-all/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://uclanlp/plbart-multi_task-all/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uclanlp/plbart-multi_task-all/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- 08564cef7f77aed05a5bbf32c739502987544089eb89f1556fe7292dec9db9d9
- Size of remote file:
- 557 MB
- SHA256:
- b6d35f1cfe4c2b946fb7401846e573f4451d01b06dec070c86edad3f5297da5e
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